diff --git a/.gitignore b/.gitignore
index 6fa0de4..c17c512 100644
--- a/.gitignore
+++ b/.gitignore
@@ -13,6 +13,8 @@
 # The AutoSketch-vs-ASAP eval's accuracy curves are inputs, committed so it
 # reruns from the repo alone.
 !rqe-optimizer/results/autosketch-vs-asap-inputs/saturation/**/*.csv
+# The Hydra eval's study table is an input, committed so it reruns from the repo.
+!rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/**/*.csv
 *.pcap
 
 # Rust target directories
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/README.md b/rqe-optimizer/results/autosketch-vs-asap-hydra/README.md
new file mode 100644
index 0000000..f72103e
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/README.md
@@ -0,0 +1,206 @@
+# AutoSketch vs. ASAP with Hydra candidates and roll-ups
+
+Results of ProjectASAP/ASAPQuery#777's synthetic evaluation (§6.3), rerun with
+everything added since #138:
+
+- the planner may serve a coarse RQE from a finer deployment by merging its
+  groups (**roll-ups**, #190), and an **ablation** without them;
+- **Hydra** grids (hydra-hll, hydra-univmon-cardinality, hydra-kll) are
+  candidates for ASAP and PerQuery, with accuracy measured on the eval's own
+  data (#193 design; #195–#202 measurement and optimizer);
+- **multi-grouping** templates (`http` and `flows`, templates 11–17, #196),
+  among them p99 latency `GROUP BY CUBE(region, service, endpoint)`
+  (template 16, all 7 groupings), evaluated alone (**multi-grouping**) and
+  added to the classic mixed set (**mixed + multi-grouping**);
+- the KLL footprint is asap_sketchlib's real allocation (#192), and the cost
+  table is re-measured.
+
+Cost is billed by use (sketch-bench `docs/rqe_optimizer_cost_model.md`):
+`w_cpu · AUC(CPU) + w_mem · AUC(memory)`, at two weight settings (CPU only, in
+vCPU; AWS Fargate's per-vCPU and per-GiB prices, in $/hour). Every RQE has a
+p95 accuracy target (0.05 in its family's own metric). An RQE with a coverage
+rule is held to the worse of its smallest and largest covered group
+(sketch-bench#189). Hydra is held to its measured worst error over the covered
+groups, the worst over N and seeds.
+
+## Methods
+
+| Method | What it may use |
+|---|---|
+| ASAP | the MILP over every RQE jointly: shared deployments, roll-ups, Hydra grids |
+| ASAP (no roll-ups) | the same MILP, each RQE only at its own grouping (or a Hydra grid): the roll-up ablation |
+| PerQuery-CostAware | the same MILP without sharing (one deployment per RQE, no roll-ups) |
+| AutoSketch-Adapted | fixed configs chosen by memory (NSDI '24); no Hydra (#159) |
+
+## Results
+
+Cost of each method's cheapest plan (no latency bound), absolute:
+
+| Workload | RQEs | Weights | ASAP | ASAP (no roll-ups) | PerQuery | AutoSketch | RQEs rolled up | Deployments (with / without roll-ups) |
+|---|---|---|---|---|---|---|---|---|
+| mixed (classic) | 50 | CPU (vCPU) | 3.54 | 3.54 | 10.5 | 3,716 | 0 | 8 / 8 |
+| mixed (classic) | 50 | Fargate ($/h) | 0.230 | 0.230 | 0.752 | 176 | 0 | 8 / 8 |
+| mixed, r = 8 | 92 | CPU | 3.66 | 3.66 | 18.5 | 4,456 | 0 | 8 / 8 |
+| mixed, m = 8 | 400 | CPU | 28.3 | 28.3 | 84.1 | 29,726 | 0 | 64 / 64 |
+| mixed, m = 16 | 800 | CPU | 56.6 | 56.6 | 168 | 59,452 | 0 | 128 / 128 |
+| mixed, m = 16 | 800 | Fargate | 3.68 | 3.68 | 12.0 | 2,808 | 0 | 128 / 128 |
+| multi-grouping | 62 | CPU | 0.221 | 0.551 | 1.07 | 10.2 | 52 | 5 / 26 |
+| multi-grouping | 62 | Fargate | 0.0137 | 0.0339 | 0.0597 | 0.430 | 52 | 5 / 26 |
+| multi-grouping, r = 8 | 124 | CPU | 0.242 | 0.573 | 2.04 | 12.3 | 104 | 5 / 26 |
+| multi-grouping, m = 8 | 496 | CPU | 1.77 | 4.41 | 8.55 | 81.7 | 416 | 40 / 208 |
+| multi-grouping, m = 16 | 992 | CPU | 3.53 | 8.81 | 17.1 | 163 | 832 | 80 / 416 |
+| multi-grouping, m = 16 | 992 | Fargate | 0.218 | 0.542 | 0.955 | 6.87 | 832 | 80 / 416 |
+| mixed + multi-grouping | 112 | CPU | 3.76 | 4.09 | 11.6 | 3,726 | 52 | 13 / 34 |
+| mixed + multi-grouping | 112 | Fargate | 0.243 | 0.264 | 0.812 | 176 | 52 | 13 / 34 |
+| mixed + multi-grouping, r = 8 | 216 | CPU | 3.90 | 4.23 | 20.5 | 4,468 | 104 | 13 / 34 |
+| mixed + multi-grouping, m = 8 | 896 | CPU | 30.1 | 32.7 | 92.7 | 29,808 | 416 | 104 / 272 |
+| mixed + multi-grouping, m = 16 | 1792 | CPU | 60.2 | 65.4 | 185 | 59,615 | 832 | 208 / 544 |
+| mixed + multi-grouping, m = 16 | 1792 | Fargate | 3.89 | 4.22 | 13.0 | 2,815 | 832 | 208 / 544 |
+
+Every workload: 0 RQEs dropped, 0 sanity violations (ASAP ≤ ASAP without
+roll-ups ≤ PerQuery, and ASAP ≤ AutoSketch). `summary_synthetic.md` has
+every frontier point; `summary_sla.md` every SLA.
+
+Planning time (CPU weights): ASAP (candidates + MILP) vs. AutoSketch (search
+plus its measured benchmark, approxbench accuracy runs at 1e8 items):
+
+| Workload | RQEs | ASAP | PerQuery | AutoSketch |
+|---|---|---|---|---|
+| mixed (classic) | 50 | 0.72 s | 0.64 s | 0.002 s + 212 s |
+| mixed, m = 16 | 800 | 13.7 s | 11.4 s | 0.035 s + 3,394 s |
+| multi-grouping | 62 | 0.41 s | 0.22 s | 0.002 s + 269 s |
+| multi-grouping, m = 16 | 992 | 7.0 s | 4.1 s | 0.037 s + 4,309 s |
+| mixed + multi-grouping | 112 | 1.12 s | 0.88 s | 0.004 s + 481 s |
+| mixed + multi-grouping, m = 16 | 1792 | 22.5 s | 16.7 s | 0.079 s + 7,702 s |
+
+### Roll-ups
+
+On the **multi-grouping** set, ASAP serves 52 of 62 RQEs from a finer
+deployment, cutting its deployments from 26 to 5 and its cost by **60%**
+(0.551 → 0.221 vCPU; 0.0339 → 0.0137 $/h), and by the same share at r = 8,
+m = 8 and m = 16. The cube (template 16) is the clearest case: one KLL
+deployment at (region, service, endpoint) answers all 14 p99 RQEs. Every
+deployment ingests the whole stream, so cost grows with the number of
+groupings kept. A KLL or DDSketch merge summarizes the pooled data of the
+merged groups, so a roll-up answers a coarse group's p99, not a quantile of
+quantiles (KLL reads its measured merge curve).
+
+On **mixed + multi-grouping**, roll-ups save 8% (4.09 → 3.76 vCPU, 34 → 13
+deployments): the classic templates, whose streams have one grouping each,
+are most of the cost. On classic alone, roll-ups never apply and the two ASAP
+lines coincide. ASAP's ~3× advantage over PerQuery on classic comes from
+sharing deployments across RQEs at the same grouping.
+
+### Hydra
+
+Hydra grids are candidates for every eligible RQE, and many are eligible
+(e.g. hydra-hll at W ≥ 4096 for flows at ≥ 5% coverage; hydra-kll by service
+at W = 16384 for every group). **Neither ASAP nor PerQuery chooses a Hydra
+grid in any workload, weight setting, bound or SLA** (`hydra_rqes = 0`
+throughout). A Hydra insert fans out to every label subset in every row and
+costs 1.9 µs per record (flows, 3 labels) to 5.1 µs (http, 4 labels), against
+3.85 ns for a per-group HLL insert; at the eval's rates that is 8–11 vCPU of
+ingest for one grid, against ASAP's 0.05–1.9 vCPU for the whole stream. The
+only near case is flows under Fargate weights, where a Hydra-only plan costs
+1.8× ASAP's (it uses 4.4× less memory). A check on real traces (Alibaba 2022,
+Google 2011; not committed) agreed: Hydra meets 0.05 only for groups holding
+≥ 1–5% of records, and per-group sketches that grow with n use less memory
+than the grid at the W that needs.
+
+hydra-univmon-cardinality reads ≈ 100% error at N ≥ 1e6 at every W
+(8 layers × a small heap saturate at ~1e6 distinct values per cell), so it is
+ruled out by accuracy; cardinality's Hydra candidate is hydra-hll.
+
+## Figures
+
+- `fig_frontier.png`: version 1, cost vs. query latency per workload and
+  weight setting; frontiers swept over latency bounds (ASAP, ASAP without
+  roll-ups, PerQuery as lines; AutoSketch, which ignores latency, as a point).
+- `fig_cost_vs_sla.png`: version 2, each method's cost at batch-latency SLAs
+  {100, 300, 1000, 3000, 10000} ms (AutoSketch: ● meets the SLA, × misses).
+  With the multi-grouping templates the tightest feasible bound is 490 ms
+  (the per-(service, endpoint) queries), so the 100 and 300 ms SLAs have no
+  plan.
+- `fig_planning_time.png`: planning time vs. RQEs (multi-grouping set).
+- `fig_rollup_ablation.png`: ASAP vs. ASAP without roll-ups, cheapest plan per
+  workload (CPU only, log scale).
+
+## Plans
+
+`plans/<table>.plans.json.gz`: each workload's chosen plans, from a rerun with
+the plans kept (`--runs 1`, without `--no-chosen`; costs are deterministic, so
+they match the results above). `plans` lists, for each method and weight
+setting, the cheapest plan (`kind: "cheapest"`) and the plan at each feasible
+SLA (`kind: "sla"`, `sla_ms`), with its cost, latency and deployments.
+`chosen` has one entry per RQE:
+
+| Field | Meaning |
+|---|---|
+| `rqe` | the RQE's id (table, query, kind, range) |
+| `sketch`, `params` | the deployment's sketch and config |
+| `window_secs`, `slide_secs` | the deployment's window and slide |
+| `merged_shards` | windows the query merges (lookback / window) |
+| `deployment` | the deployment's index; RQEs with one index share it |
+| `deployment_grouping` | present for a roll-up or Hydra grid: the deployment's (finer) grouping |
+| `ingest_workers`, `latency_ms` | ingest workers and the RQE's chain latency |
+| `asap_accuracy`, `accuracy_source` | estimated error and where it was read |
+| `covers_share` | the RQE's coverage rule, if any |
+
+```sh
+zcat plans/synthetic-templatesmultigroup-shared1.plans.json.gz | jq '.plans[]
+  | select(.kind == "cheapest" and .method == "asap" and .weights == "cpu") | .chosen'
+```
+
+## Inputs
+
+- `inputs/saturation/optimizer_cost/rqe_atomic_costs.json`: the cost table,
+  56 rows, measured serially on idle clnode138 (`study_saturation.py --phase
+  optimizer-cost --seeds 3 --hydra-variants hydra-hll,hydra-kll`), including
+  Hydra rows per dataset (`measured_at.dataset`) and #192's KLL footprint.
+- `inputs/saturation/hydra_saturation.csv`: the Hydra study (`--phase hydra`,
+  #202), 6,779 runs on 4 CloudLab nodes; hydra-kll on `hydra_http_latency`
+  rerun with per-service latency scales (×1–10 log-uniform), so groups differ
+  in distribution as they do in practice.
+- The accuracy curves (`out_grid_1e7_cost/`, `out_1e9/`) are the committed
+  #138 study's, in `../autosketch-vs-asap-inputs/saturation/` (#194).
+- `inputs/tables/`: the workloads, `export_autosketch_eval_table.py
+  --synthetic` (classic, multigroup and all × r ∈ {1, 8} × m ∈ {1, 8, 16}).
+
+## Reproduce
+
+```sh
+cargo build --release -p aqpbm-cli -p rqe-optimizer --bins --examples
+DIR=rqe-optimizer/results/autosketch-vs-asap-hydra
+# saturation dir = the #138 curves + this cost table and Hydra study:
+SAT=$(mktemp -d); cp -r rqe-optimizer/results/autosketch-vs-asap-inputs/saturation/out_* $SAT/
+cp -r $DIR/inputs/saturation/* $SAT/
+while IFS=$'\t' read -r table target result; do
+  target/release/examples/autosketch_vs_asap synthetic --table $DIR/inputs/tables/$table \
+      --target $target --runs 3 --no-chosen --saturation-dir $SAT --out $DIR/$result
+done < $DIR/inputs/tables/plan.tsv
+python3 scripts/autosketch_benchmark_time.py --binary target/release/approxbench \
+    --out $DIR/autosketch-benchmark-times.json $DIR/synthetic-*-tp95.json
+python3 scripts/plot_autosketch_vs_asap_synthetic.py $DIR
+python3 scripts/plot_autosketch_vs_asap_sla.py $DIR $DIR/synthetic-*-tp95.json
+```
+
+Runs: Xeon E5-2683 v3, 56 cores, `--runs 3`, runner from sketch-bench
+`hydra/eval-integration` at 44ac160. Classic: one large table per CloudLab node
+(clnode178, 167; the small ones serially on clnode138), 2026-10-10.
+Multigroup and all (with the cube template): serially on one idle node,
+2026-10-11.
+
+## Caveats
+
+- The cost model charges a per-group sketch its insert only, not routing a
+  sample to its group's sketch (~100 ns per record per deployment on the
+  real traces). Adding it raises ASAP's flows ingest from 0.11 to ~1.3 vCPU,
+  still far below a Hydra grid's 8.2; the Hydra conclusion holds.
+- Per-group sketch memory is asap_sketchlib's full allocation from
+  construction (#192); sketches that grow with n would favour per-group
+  sketches further.
+- Hydra datasets: no flows DDoS burst (datagen can't tie a source set to a
+  subnet), uniform proto, smaller UnivMon cells (3×256, 8 layers, heap 64).
+- Template 12 groups by (dst_subnet, proto) rather than (dst_subnet,
+  dst_port): answering 1e6 groups every minute took ~49 s and set every
+  plan's batch latency above the largest SLA.
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/autosketch-benchmark-times.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/autosketch-benchmark-times.json
new file mode 100644
index 0000000..4da336c
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/autosketch-benchmark-times.json
@@ -0,0 +1,17 @@
+{
+ "n": 100000000.0,
+ "secs": {
+  "[\"cms-heap-topk-fastpath-vector2d\", {\"cols\": 1024, \"heap\": 32, \"rows\": 3}, 1.1, 10000.0, null]": 32.40410717698978,
+  "[\"cms-heap-topk-fastpath-vector2d\", {\"cols\": 256, \"heap\": 32, \"rows\": 3}, 1.1, 10000.0, null]": 32.35026514204219,
+  "[\"cms-heap-topk-fastpath-vector2d\", {\"cols\": 4096, \"heap\": 32, \"rows\": 5}, 1.1, 10000.0, null]": 37.245747498993296,
+  "[\"dd\", {\"alpha\": 0.01}, null, 0.0, 2.0]": 21.549985619960353,
+  "[\"dd\", {\"alpha\": 0.02}, null, 0.0, 2.0]": 22.274108413956128,
+  "[\"dd\", {\"alpha\": 0.05}, null, 0.0, 2.0]": 21.460699204995763,
+  "[\"hll\", {\"lg_k\": 12}, 0.0, 1000000.0, null]": 38.143390018027276,
+  "[\"hll\", {\"lg_k\": 12}, 0.8, 1000000.0, null]": 39.95713640097529,
+  "[\"hll\", {\"lg_k\": 14}, 0.0, 1000000.0, null]": 40.32202102598967,
+  "[\"hll\", {\"lg_k\": 14}, 0.8, 1000000.0, null]": 40.74274828098714,
+  "[\"kll-percall\", {\"k\": 200}, null, 0.0, 2.0]": 22.40906461601844,
+  "[\"kll-percall\", {\"k\": 50}, null, 0.0, 2.0]": 22.422631791967433
+ }
+}
\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/fig_cost_vs_sla.png b/rqe-optimizer/results/autosketch-vs-asap-hydra/fig_cost_vs_sla.png
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diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/fig_rollup_ablation.png b/rqe-optimizer/results/autosketch-vs-asap-hydra/fig_rollup_ablation.png
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diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/saturation/hydra_saturation.csv b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/saturation/hydra_saturation.csv
new file mode 100644
index 0000000..6843731
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/saturation/hydra_saturation.csv
@@ -0,0 +1,6780 @@
+variant,statistic,config,R,W,dataset,group_columns,schema_width,records,fanned_mass,merge_shards,merge_split,seed,err_mean,err_p50,err_p90,err_max,groups_scored,err_max_cov_0.01,err_max_cov_0.05
+hydra-hll,cardinality,rows=3 cols=16384,3,16384,hydra_flows,dst_subnet,3,10000000,70000000,16,interleaved,1,0.7299962234829898,0.4398296059637913,1.6259378349410505,13.231194690265486,1000,0.01312353365444401,0.012235101134979314
+hydra-hll,cardinality,rows=3 cols=4096,3,4096,hydra_http,service,4,10000000,150000000,16,interleaved,1,0.04451606574242837,0.027217137604412293,0.09408684787243538,0.19912404448672943,25,0.10841952209815918,0.016567930220177725
+hydra-hll,cardinality,rows=3 cols=16384,3,16384,hydra_http,status,4,10000000,150000000,16,interleaved,2,0.005226472634361853,0.006353725777926224,0.009379158737151914,0.009379158737151914,4,0.009379158737151914,0.006353725777926224
+hydra-hll,cardinality,rows=3 cols=16384,3,16384,hydra_http,endpoint,4,10000000,150000000,16,interleaved,1,0.6204676858394741,0.15501456512692469,1.5011757789535567,29.319213313161875,625,0.04258645273230145,0.004352259444402994
+hydra-hll,cardinality,rows=3 cols=16384,3,16384,hydra_http,"service,status",4,10000000,150000000,16,interleaved,3,0.1593421346796789,0.04253477588871716,0.4296274393849793,2.008685724519263,100,0.05499122726013482,0.009438490402099311
+hydra-hll,cardinality,rows=3 cols=16384,3,16384,hydra_http,"service,endpoint",4,10000000,150000000,16,interleaved,2,0.6934895553099155,0.15609022556390978,1.816213921901528,18.310344827586206,625,0.11497916459966266,0.0020437432771602724
+hydra-hll,cardinality,rows=3 cols=16384,3,16384,hydra_http,"region,status",4,10000000,150000000,16,interleaved,1,0.014793452738555979,0.009330609000062762,0.039241460829868756,0.047072243346007604,16,0.047072243346007604,0.009330609000062762
+hydra-hll,cardinality,rows=3 cols=16384,3,16384,hydra_http,"region,service",4,10000000,150000000,16,interleaved,3,0.05870510596654206,0.024078700007725787,0.14012518587681985,0.6546386520503451,100,0.28250499857183664,0.016265604998297104
+hydra-hll,cardinality,rows=3 cols=16384,3,16384,hydra_http,"region,service,endpoint",4,10000000,150000000,16,interleaved,1,3.010630679046842,0.6662865830482706,6.310214375788147,447.0670391061453,2500,0.029126911397408944,0.00011595547309833024
+hydra-hll,cardinality,rows=3 cols=16384,3,16384,hydra_http,region,4,10000000,150000000,16,interleaved,3,0.0074283752863922685,0.00952878718873889,0.01316736273074072,0.01316736273074072,4,0.01316736273074072,0.01316736273074072
+hydra-hll,cardinality,rows=3 cols=16384,3,16384,hydra_http,"region,endpoint,status",4,10000000,150000000,16,interleaved,3,32.12388533408231,4.555555555555555,68.875,7807.0,10000,0.025348891076495454,0.004161534871979253
+hydra-hll,cardinality,rows=3 cols=16384,3,16384,hydra_http,"region,service,endpoint,status",4,10000000,150000000,16,interleaved,1,32.74533685921041,4.705467372134039,71.3529411764706,4845.375,10000,0.021999856021884673,0.00348036735507413
+hydra-hll,cardinality,rows=3 cols=16384,3,16384,hydra_http,"region,service,status",4,10000000,150000000,16,interleaved,2,0.5200281936853289,0.12758463985457852,1.3537284894837476,11.086617245415528,400,0.1392986612110118,0.0025929092994022122
+hydra-hll,cardinality,rows=3 cols=16384,3,16384,hydra_flows,dst_port,3,10000000,70000000,16,interleaved,2,0.9748552399782179,0.6246753246753247,2.3431786216596344,13.263565891472869,1000,0.018167636942384244,0.007879827208196757
+hydra-hll,cardinality,rows=3 cols=4096,3,4096,hydra_http,endpoint,4,10000000,150000000,16,interleaved,2,4.328825239136836,2.080316742081448,10.307210031347962,58.319844357976656,625,0.21745765866368882,0.016634029290895552
+hydra-hll,cardinality,rows=3 cols=16384,3,16384,hydra_flows,"dst_subnet,proto",3,10000000,70000000,16,interleaved,1,2.0823393391654452,1.3162705667276051,4.245478036175711,138.05929487179486,3000,0.05571890011595163,0.007702601042547384
+hydra-hll,cardinality,rows=3 cols=4096,3,4096,hydra_http,"region,endpoint",4,10000000,150000000,16,interleaved,1,18.556600266704276,8.43421052631579,47.55115511551155,354.4246575342466,2500,0.22617850679382953,0.0021103896103896102
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diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/saturation/optimizer_cost/rqe_atomic_costs.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/saturation/optimizer_cost/rqe_atomic_costs.json
new file mode 100644
index 0000000..d1c9cf7
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/saturation/optimizer_cost/rqe_atomic_costs.json
@@ -0,0 +1,2271 @@
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+    }
+  },
+  {
+    "sketch": "hydra-kll",
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+      "schema_width": 4.0,
+      "subpopulations": 4.0
+    },
+    "accuracy_metric": "err_max",
+    "measured_at": {
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+      "keys_per_instance": 10000,
+      "value_range": null,
+      "merge_operand_items": 62500,
+      "distribution": {
+        "kind": "pareto",
+        "alpha": 2.0,
+        "scale": 1000.0,
+        "seed": 5
+      },
+      "schema_width": 4,
+      "dataset": "hydra_http_latency"
+    }
+  }
+]
\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/plan.tsv b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/plan.tsv
new file mode 100644
index 0000000..266b8f7
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/plan.tsv
@@ -0,0 +1,12 @@
+synthetic-templatesall-shared1.json	p95	synthetic-templatesall-shared1-tp95.json
+synthetic-templatesall-shared8.json	p95	synthetic-templatesall-shared8-tp95.json
+synthetic-templatesall-shared1-metrics8.json	p95	synthetic-templatesall-shared1-metrics8-tp95.json
+synthetic-templatesall-shared1-metrics16.json	p95	synthetic-templatesall-shared1-metrics16-tp95.json
+synthetic-templatesclassic-shared1.json	p95	synthetic-templatesclassic-shared1-tp95.json
+synthetic-templatesclassic-shared8.json	p95	synthetic-templatesclassic-shared8-tp95.json
+synthetic-templatesclassic-shared1-metrics8.json	p95	synthetic-templatesclassic-shared1-metrics8-tp95.json
+synthetic-templatesclassic-shared1-metrics16.json	p95	synthetic-templatesclassic-shared1-metrics16-tp95.json
+synthetic-templatesmultigroup-shared1.json	p95	synthetic-templatesmultigroup-shared1-tp95.json
+synthetic-templatesmultigroup-shared8.json	p95	synthetic-templatesmultigroup-shared8-tp95.json
+synthetic-templatesmultigroup-shared1-metrics8.json	p95	synthetic-templatesmultigroup-shared1-metrics8-tp95.json
+synthetic-templatesmultigroup-shared1-metrics16.json	p95	synthetic-templatesmultigroup-shared1-metrics16-tp95.json
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesall-shared1-metrics16.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesall-shared1-metrics16.json
new file mode 100644
index 0000000..32848c7
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesall-shared1-metrics16.json
@@ -0,0 +1 @@
+{"inputs": {}, "plan": "ProjectASAP/ASAPQuery#777", "schema_version": 1, "sketch_bench_revision": "beacf68", "workloads": [{"dataset": "synthetic/templates=all/shared=1/metrics=16", "rqes": [{"assumptions": [], "capability": "sum", "dataset": "synthetic/templates=all/shared=1/metrics=16", "families": [{"family": "exact-sum", "grid_K": null, "grid_param": null, "sketch": "exact-sum", "target": 0.0}], "id": "synthetic/templates=all/shared=1/metrics=16/sum_by_job_data_0/keys/1s", "instant": false, "interval_secs": 1, "kind": "keys", "label_set": {"arrival_rate_per_sec": 2000000, "groups": 10, "keys_per_window": null}, "lookback_secs": 1, "max_N": 200000.0, "metric": "data_0", "min_N": 200000.0, "queries_per_instance": 1, "query_id": "sum_by_job_data_0", "range": "1s", "stream": "data_0/job/value"}, {"assumptions": [], "capability": "quantile", "dataset": "synthetic/templates=all/shared=1/metrics=16", "families": [{"family": "kll", "grid_K": null, "grid_param": 2.0, "sketch": "kll-percall", "target": 0.01}, {"family": "dd", "grid_K": null, "grid_param": 2.0, "sketch": "dd", "target": 0.01}], "id": "synthetic/templates=all/shared=1/metrics=16/quantile_by_job_p0.5_data_0/values/1s", "instant": false, "interval_secs": 1, "kind": "values", "label_set": {"arrival_rate_per_sec": 2000000, "groups": 10, "keys_per_window": null}, "lookback_secs": 1, "max_N": 200000.0, "metric": "data_0", "min_N": 200000.0, "queries_per_instance": 1, "query_id": "quantile_by_job_p0.5_data_0", "range": "1s", "stream": "data_0/job/dist"}, {"assumptions": [], "capability": "quantile", "dataset": "synthetic/templates=all/shared=1/metrics=16", "families": [{"family": "kll", "grid_K": null, "grid_param": 2.0, "sketch": "kll-percall", "target": 0.01}, {"family": "dd", "grid_K": null, "grid_param": 2.0, "sketch": "dd", "target": 0.01}], "id": "synthetic/templates=all/shared=1/metrics=16/quantile_by_job_p0.75_data_0/values/1s", "instant": false, "interval_secs": 1, "kind": "values", 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\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesall-shared1-metrics8.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesall-shared1-metrics8.json
new file mode 100644
index 0000000..9cfddb5
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesall-shared1-metrics8.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesall-shared1.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesall-shared1.json
new file mode 100644
index 0000000..befa958
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesall-shared1.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesall-shared8.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesall-shared8.json
new file mode 100644
index 0000000..8a89009
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesall-shared8.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesclassic-shared1-metrics16.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesclassic-shared1-metrics16.json
new file mode 100644
index 0000000..0224f38
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesclassic-shared1-metrics16.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesclassic-shared1-metrics8.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesclassic-shared1-metrics8.json
new file mode 100644
index 0000000..98b6729
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesclassic-shared1-metrics8.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesclassic-shared1.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesclassic-shared1.json
new file mode 100644
index 0000000..0ff8a15
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesclassic-shared1.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesclassic-shared8.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesclassic-shared8.json
new file mode 100644
index 0000000..8fcff58
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesclassic-shared8.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesmultigroup-shared1-metrics16.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesmultigroup-shared1-metrics16.json
new file mode 100644
index 0000000..8133382
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesmultigroup-shared1-metrics16.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesmultigroup-shared1-metrics8.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesmultigroup-shared1-metrics8.json
new file mode 100644
index 0000000..d9a0cb6
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesmultigroup-shared1-metrics8.json
@@ -0,0 +1 @@
+{"inputs": {}, "plan": "ProjectASAP/ASAPQuery#777", "schema_version": 1, "sketch_bench_revision": "beacf68", "workloads": [{"dataset": "synthetic/templates=multigroup/shared=1/metrics=8", "rqes": [{"assumptions": [], "capability": "cardinality", "covered_groups": 4, "covered_max_N": 204564050.92183775, "covered_min_N": 60102524.89078111, "covers_share": 0.05, "dataset": "synthetic/templates=multigroup/shared=1/metrics=8", "families": [{"family": "hll", "grid_K": 1000000, "grid_param": 0.0, "sketch": "hll", "target": 0.02}], "grouping": ["dst_subnet"], "id": "synthetic/templates=multigroup/shared=1/metrics=8/t11_distinct_src_by_dst_subnet_data_0/keys/5m", "instant": false, "interval_secs": 60, "kind": "keys", "label_set": {"arrival_rate_per_sec": 4000000, "groups": 1000, "keys_per_window": 1000000}, "lookback_secs": 300, "max_N": 1200000.0, "max_covered_share": 0.1704700424348648, "metric": "data_0/flows", "min_N": 1200000.0, "min_covered_share": 0.05008543740898426, 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\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesmultigroup-shared1.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesmultigroup-shared1.json
new file mode 100644
index 0000000..e20f698
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesmultigroup-shared1.json
@@ -0,0 +1 @@
+{"inputs": {}, "plan": "ProjectASAP/ASAPQuery#777", "schema_version": 1, "sketch_bench_revision": "beacf68", "workloads": [{"dataset": "synthetic/templates=multigroup/shared=1", "rqes": [{"assumptions": [], "capability": "cardinality", "covered_groups": 4, "covered_max_N": 204564050.92183775, "covered_min_N": 60102524.89078111, "covers_share": 0.05, "dataset": "synthetic/templates=multigroup/shared=1", "families": [{"family": "hll", "grid_K": 1000000, "grid_param": 0.0, "sketch": "hll", "target": 0.02}], "grouping": ["dst_subnet"], "id": "synthetic/templates=multigroup/shared=1/t11_distinct_src_by_dst_subnet/keys/5m", "instant": false, "interval_secs": 60, "kind": "keys", "label_set": {"arrival_rate_per_sec": 4000000, "groups": 1000, "keys_per_window": 1000000}, "lookback_secs": 300, "max_N": 1200000.0, "max_covered_share": 0.1704700424348648, "metric": "flows", "min_N": 1200000.0, "min_covered_share": 0.05008543740898426, "queries_per_instance": 1, "query_id": 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\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesmultigroup-shared8.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesmultigroup-shared8.json
new file mode 100644
index 0000000..5a4d193
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/inputs/tables/synthetic-templatesmultigroup-shared8.json
@@ -0,0 +1 @@
+{"inputs": {}, "plan": "ProjectASAP/ASAPQuery#777", "schema_version": 1, "sketch_bench_revision": "beacf68", "workloads": [{"dataset": "synthetic/templates=multigroup/shared=8", "rqes": [{"assumptions": [], "capability": "cardinality", "covered_groups": 4, "covered_max_N": 204564050.92183775, "covered_min_N": 60102524.89078111, "covers_share": 0.05, "dataset": "synthetic/templates=multigroup/shared=8", "families": [{"family": "hll", "grid_K": 1000000, "grid_param": 0.0, "sketch": "hll", "target": 0.02}], "grouping": ["dst_subnet"], "id": "synthetic/templates=multigroup/shared=8/t11_distinct_src_by_dst_subnet/keys/5m@60s", "instant": false, "interval_secs": 60, "kind": "keys", "label_set": {"arrival_rate_per_sec": 4000000, "groups": 1000, "keys_per_window": 1000000}, "lookback_secs": 300, "max_N": 1200000.0, "max_covered_share": 0.1704700424348648, "metric": "flows", "min_N": 1200000.0, "min_covered_share": 0.05008543740898426, "queries_per_instance": 1, "query_id": 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"instant": false, "interval_secs": 300, "kind": "keys", "label_set": {"arrival_rate_per_sec": 2000000, "groups": 625, "keys_per_window": 1000000}, "lookback_secs": 900, "max_N": 2880000.0, "max_covered_share": 0.08905134454913503, "metric": "http", "min_N": 2880000.0, "min_covered_share": 7.484666639290972e-05, "queries_per_instance": 1, "query_id": "t17_distinct_users_by_service,endpoint", "range": "15m@300s", "stream": "http/user_id"}], "schemas": {"flows": {"labels": [{"cardinality": 1000, "name": "dst_subnet", "skew": 1.1}, {"cardinality": 1000, "name": "dst_port", "skew": 1.2}, {"cardinality": 3, "name": "proto", "skew": 0.0}], "rate": 4000000, "values": {"src_ip": {"burst": {"keys": 10000, "label": "dst_subnet", "share": 0.05, "value": 999}, "keys": 1000000, "zipf": 0.0}}}, "http": {"labels": [{"cardinality": 4, "name": "region", "skew": 0.5}, {"cardinality": 25, "name": "service", "skew": 1.1}, {"cardinality": 25, "child_of": "service", "name": "endpoint", "skew": 1.1}, {"cardinality": 4, "name": "status", "skew": 2.0}], "rate": 2000000, "values": {"latency": {"anomaly": {"factor": 10, "label": "endpoint"}, "pareto": 2.0, "scaled_by": "service"}, "user_id": {"keys": 1000000, "zipf": 0.8}}}}}]}
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+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/summary_sla.md
@@ -0,0 +1,715 @@
+# Version 2: cost by use under a batch latency SLA
+
+Each method's cost by use (`w_cpu · AUC(CPU) + w_mem · AUC(memory)`) at each SLA; ASAP and PerQuery plan for the SLA (the cheapest plan whose batch latency, the longest chain, is at most it), AutoSketch's one plan ignores it.
+
+## mixed: 50 RQEs
+
+Sanity violations: 0. Tightest feasible SLA: ASAP 87.7 ms, PerQuery 87.7 ms. AutoSketch latency 1.01e+03 ms; planning time (search + measured benchmark) 212 s.
+
+| weights | SLA (ms) | method | cost | latency (ms) | CPU (vCPU) | GiB | meets SLA |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | ASAP | 36.7 | 99.8 | 36.7 | 34.8 | yes |
+| cpu | 100 | ASAP (no roll-ups) | 36.7 | 99.8 | 36.7 | 34.8 | yes |
+| cpu | 100 | PerQuery-CostAware | 64.5 | 97.4 | 64.5 | 76.5 | yes |
+| cpu | 100 | AutoSketch-Adapted | 3.72e+03 | 1.01e+03 | 3.72e+03 | 5.62e+03 | **no** |
+| cpu | 300 | ASAP | 12.7 | 291 | 12.7 | 16.5 | yes |
+| cpu | 300 | ASAP (no roll-ups) | 12.7 | 291 | 12.7 | 16.5 | yes |
+| cpu | 300 | PerQuery-CostAware | 24.7 | 291 | 24.7 | 68.9 | yes |
+| cpu | 300 | AutoSketch-Adapted | 3.72e+03 | 1.01e+03 | 3.72e+03 | 5.62e+03 | **no** |
+| cpu | 1e+03 | ASAP | 5.67 | 980 | 5.67 | 30.7 | yes |
+| cpu | 1e+03 | ASAP (no roll-ups) | 5.67 | 980 | 5.67 | 30.7 | yes |
+| cpu | 1e+03 | PerQuery-CostAware | 13.5 | 980 | 13.5 | 157 | yes |
+| cpu | 1e+03 | AutoSketch-Adapted | 3.72e+03 | 1.01e+03 | 3.72e+03 | 5.62e+03 | **no** |
+| cpu | 3e+03 | ASAP | 3.6 | 2.68e+03 | 3.6 | 18.9 | yes |
+| cpu | 3e+03 | ASAP (no roll-ups) | 3.6 | 2.68e+03 | 3.6 | 18.9 | yes |
+| cpu | 3e+03 | PerQuery-CostAware | 10.8 | 2.68e+03 | 10.8 | 142 | yes |
+| cpu | 3e+03 | AutoSketch-Adapted | 3.72e+03 | 1.01e+03 | 3.72e+03 | 5.62e+03 | yes |
+| cpu | 1e+04 | ASAP | 3.6 | 2.68e+03 | 3.6 | 18.9 | yes |
+| cpu | 1e+04 | ASAP (no roll-ups) | 3.6 | 2.68e+03 | 3.6 | 18.9 | yes |
+| cpu | 1e+04 | PerQuery-CostAware | 10.5 | 3.33e+03 | 10.5 | 77 | yes |
+| cpu | 1e+04 | AutoSketch-Adapted | 3.72e+03 | 1.01e+03 | 3.72e+03 | 5.62e+03 | yes |
+| fargate | 100 | ASAP | 1.59 | 96.9 | 37.1 | 18.8 | yes |
+| fargate | 100 | ASAP (no roll-ups) | 1.59 | 96.9 | 37.1 | 18.8 | yes |
+| fargate | 100 | PerQuery-CostAware | 2.95 | 97.4 | 64.6 | 75.7 | yes |
+| fargate | 100 | AutoSketch-Adapted | 176 | 1.01e+03 | 3.72e+03 | 5.62e+03 | **no** |
+| fargate | 300 | ASAP | 0.586 | 291 | 12.7 | 16.5 | yes |
+| fargate | 300 | ASAP (no roll-ups) | 0.586 | 291 | 12.7 | 16.5 | yes |
+| fargate | 300 | PerQuery-CostAware | 1.3 | 291 | 24.7 | 68.2 | yes |
+| fargate | 300 | AutoSketch-Adapted | 176 | 1.01e+03 | 3.72e+03 | 5.62e+03 | **no** |
+| fargate | 1e+03 | ASAP | 0.307 | 896 | 5.69 | 17.2 | yes |
+| fargate | 1e+03 | ASAP (no roll-ups) | 0.307 | 896 | 5.69 | 17.2 | yes |
+| fargate | 1e+03 | PerQuery-CostAware | 0.864 | 896 | 13.7 | 69.7 | yes |
+| fargate | 1e+03 | AutoSketch-Adapted | 176 | 1.01e+03 | 3.72e+03 | 5.62e+03 | **no** |
+| fargate | 3e+03 | ASAP | 0.23 | 2.68e+03 | 3.6 | 18.9 | yes |
+| fargate | 3e+03 | ASAP (no roll-ups) | 0.23 | 2.68e+03 | 3.6 | 18.9 | yes |
+| fargate | 3e+03 | PerQuery-CostAware | 0.757 | 2.68e+03 | 10.9 | 70.9 | yes |
+| fargate | 3e+03 | AutoSketch-Adapted | 176 | 1.01e+03 | 3.72e+03 | 5.62e+03 | yes |
+| fargate | 1e+04 | ASAP | 0.23 | 2.68e+03 | 3.6 | 18.9 | yes |
+| fargate | 1e+04 | ASAP (no roll-ups) | 0.23 | 2.68e+03 | 3.6 | 18.9 | yes |
+| fargate | 1e+04 | PerQuery-CostAware | 0.752 | 3.26e+03 | 10.8 | 70.9 | yes |
+| fargate | 1e+04 | AutoSketch-Adapted | 176 | 1.01e+03 | 3.72e+03 | 5.62e+03 | yes |
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | SLA (ms) | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | 0 | 14 | 14 | 36.7 | 36.7 | 0.0% |
+| cpu | 300 | 0 | 13 | 13 | 12.7 | 12.7 | 0.0% |
+| cpu | 1e+03 | 0 | 9 | 9 | 5.67 | 5.67 | 0.0% |
+| cpu | 3e+03 | 0 | 8 | 8 | 3.6 | 3.6 | 0.0% |
+| cpu | 1e+04 | 0 | 8 | 8 | 3.6 | 3.6 | 0.0% |
+| fargate | 100 | 0 | 14 | 14 | 1.59 | 1.59 | 0.0% |
+| fargate | 300 | 0 | 13 | 13 | 0.586 | 0.586 | 0.0% |
+| fargate | 1e+03 | 0 | 9 | 9 | 0.307 | 0.307 | 0.0% |
+| fargate | 3e+03 | 0 | 8 | 8 | 0.23 | 0.23 | 0.0% |
+| fargate | 1e+04 | 0 | 8 | 8 | 0.23 | 0.23 | 0.0% |
+
+## multi-grouping: 62 RQEs
+
+Sanity violations: 0. Tightest feasible SLA: ASAP 490 ms, PerQuery 490 ms. AutoSketch latency 490 ms; planning time (search + measured benchmark) 269 s.
+
+| weights | SLA (ms) | method | cost | latency (ms) | CPU (vCPU) | GiB | meets SLA |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 100 | AutoSketch-Adapted | 10.2 | 490 | 10.2 | 3.55 | **no** |
+| cpu | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 300 | AutoSketch-Adapted | 10.2 | 490 | 10.2 | 3.55 | **no** |
+| cpu | 1e+03 | ASAP | 0.221 | 557 | 0.221 | 1.06 | yes |
+| cpu | 1e+03 | ASAP (no roll-ups) | 0.551 | 959 | 0.551 | 2.6 | yes |
+| cpu | 1e+03 | PerQuery-CostAware | 1.07 | 959 | 1.07 | 3.69 | yes |
+| cpu | 1e+03 | AutoSketch-Adapted | 10.2 | 490 | 10.2 | 3.55 | yes |
+| cpu | 3e+03 | ASAP | 0.221 | 557 | 0.221 | 1.06 | yes |
+| cpu | 3e+03 | ASAP (no roll-ups) | 0.551 | 959 | 0.551 | 2.6 | yes |
+| cpu | 3e+03 | PerQuery-CostAware | 1.07 | 959 | 1.07 | 3.69 | yes |
+| cpu | 3e+03 | AutoSketch-Adapted | 10.2 | 490 | 10.2 | 3.55 | yes |
+| cpu | 1e+04 | ASAP | 0.221 | 557 | 0.221 | 1.06 | yes |
+| cpu | 1e+04 | ASAP (no roll-ups) | 0.551 | 959 | 0.551 | 2.6 | yes |
+| cpu | 1e+04 | PerQuery-CostAware | 1.07 | 959 | 1.07 | 3.69 | yes |
+| cpu | 1e+04 | AutoSketch-Adapted | 10.2 | 490 | 10.2 | 3.55 | yes |
+| fargate | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 100 | AutoSketch-Adapted | 0.43 | 490 | 10.2 | 3.55 | **no** |
+| fargate | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 300 | AutoSketch-Adapted | 0.43 | 490 | 10.2 | 3.55 | **no** |
+| fargate | 1e+03 | ASAP | 0.0137 | 557 | 0.224 | 1.03 | yes |
+| fargate | 1e+03 | ASAP (no roll-ups) | 0.0339 | 959 | 0.559 | 2.52 | yes |
+| fargate | 1e+03 | PerQuery-CostAware | 0.0597 | 959 | 1.08 | 3.61 | yes |
+| fargate | 1e+03 | AutoSketch-Adapted | 0.43 | 490 | 10.2 | 3.55 | yes |
+| fargate | 3e+03 | ASAP | 0.0137 | 557 | 0.224 | 1.03 | yes |
+| fargate | 3e+03 | ASAP (no roll-ups) | 0.0339 | 959 | 0.559 | 2.52 | yes |
+| fargate | 3e+03 | PerQuery-CostAware | 0.0597 | 959 | 1.08 | 3.61 | yes |
+| fargate | 3e+03 | AutoSketch-Adapted | 0.43 | 490 | 10.2 | 3.55 | yes |
+| fargate | 1e+04 | ASAP | 0.0137 | 557 | 0.224 | 1.03 | yes |
+| fargate | 1e+04 | ASAP (no roll-ups) | 0.0339 | 959 | 0.559 | 2.52 | yes |
+| fargate | 1e+04 | PerQuery-CostAware | 0.0597 | 959 | 1.08 | 3.61 | yes |
+| fargate | 1e+04 | AutoSketch-Adapted | 0.43 | 490 | 10.2 | 3.55 | yes |
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | SLA (ms) | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|---|
+| cpu | 1e+03 | 52 | 5 | 26 | 0.221 | 0.551 | 59.9% |
+| cpu | 3e+03 | 52 | 5 | 26 | 0.221 | 0.551 | 59.9% |
+| cpu | 1e+04 | 52 | 5 | 26 | 0.221 | 0.551 | 59.9% |
+| fargate | 1e+03 | 52 | 5 | 26 | 0.0137 | 0.0339 | 59.7% |
+| fargate | 3e+03 | 52 | 5 | 26 | 0.0137 | 0.0339 | 59.7% |
+| fargate | 1e+04 | 52 | 5 | 26 | 0.0137 | 0.0339 | 59.7% |
+
+## mixed, r = 8: 92 RQEs
+
+Sanity violations: 0. Tightest feasible SLA: ASAP 87.7 ms, PerQuery 87.7 ms. AutoSketch latency 1.01e+03 ms; planning time (search + measured benchmark) 212 s.
+
+| weights | SLA (ms) | method | cost | latency (ms) | CPU (vCPU) | GiB | meets SLA |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | ASAP | 36.7 | 99.8 | 36.7 | 34.8 | yes |
+| cpu | 100 | ASAP (no roll-ups) | 36.7 | 99.8 | 36.7 | 34.8 | yes |
+| cpu | 100 | PerQuery-CostAware | 80.8 | 97.4 | 80.8 | 107 | yes |
+| cpu | 100 | AutoSketch-Adapted | 4.46e+03 | 1.01e+03 | 4.46e+03 | 5.86e+03 | **no** |
+| cpu | 300 | ASAP | 12.7 | 291 | 12.7 | 16.5 | yes |
+| cpu | 300 | ASAP (no roll-ups) | 12.7 | 291 | 12.7 | 16.5 | yes |
+| cpu | 300 | PerQuery-CostAware | 34.8 | 291 | 34.8 | 99.4 | yes |
+| cpu | 300 | AutoSketch-Adapted | 4.46e+03 | 1.01e+03 | 4.46e+03 | 5.86e+03 | **no** |
+| cpu | 1e+03 | ASAP | 5.71 | 980 | 5.71 | 30.7 | yes |
+| cpu | 1e+03 | ASAP (no roll-ups) | 5.71 | 980 | 5.71 | 30.7 | yes |
+| cpu | 1e+03 | PerQuery-CostAware | 21.6 | 980 | 21.6 | 187 | yes |
+| cpu | 1e+03 | AutoSketch-Adapted | 4.46e+03 | 1.01e+03 | 4.46e+03 | 5.86e+03 | **no** |
+| cpu | 3e+03 | ASAP | 3.66 | 2.68e+03 | 3.66 | 18.9 | yes |
+| cpu | 3e+03 | ASAP (no roll-ups) | 3.66 | 2.68e+03 | 3.66 | 18.9 | yes |
+| cpu | 3e+03 | PerQuery-CostAware | 18.8 | 2.68e+03 | 18.8 | 172 | yes |
+| cpu | 3e+03 | AutoSketch-Adapted | 4.46e+03 | 1.01e+03 | 4.46e+03 | 5.86e+03 | yes |
+| cpu | 1e+04 | ASAP | 3.66 | 2.68e+03 | 3.66 | 18.9 | yes |
+| cpu | 1e+04 | ASAP (no roll-ups) | 3.66 | 2.68e+03 | 3.66 | 18.9 | yes |
+| cpu | 1e+04 | PerQuery-CostAware | 18.5 | 3.33e+03 | 18.5 | 107 | yes |
+| cpu | 1e+04 | AutoSketch-Adapted | 4.46e+03 | 1.01e+03 | 4.46e+03 | 5.86e+03 | yes |
+| fargate | 100 | ASAP | 1.59 | 96.9 | 37.1 | 18.8 | yes |
+| fargate | 100 | ASAP (no roll-ups) | 1.59 | 96.9 | 37.1 | 18.8 | yes |
+| fargate | 100 | PerQuery-CostAware | 3.69 | 97.4 | 81.3 | 88.7 | yes |
+| fargate | 100 | AutoSketch-Adapted | 207 | 1.01e+03 | 4.46e+03 | 5.86e+03 | **no** |
+| fargate | 300 | ASAP | 0.587 | 291 | 12.7 | 16.5 | yes |
+| fargate | 300 | ASAP (no roll-ups) | 0.587 | 291 | 12.7 | 16.5 | yes |
+| fargate | 300 | PerQuery-CostAware | 1.78 | 291 | 35 | 81.2 | yes |
+| fargate | 300 | AutoSketch-Adapted | 207 | 1.01e+03 | 4.46e+03 | 5.86e+03 | **no** |
+| fargate | 1e+03 | ASAP | 0.308 | 896 | 5.72 | 17.2 | yes |
+| fargate | 1e+03 | ASAP (no roll-ups) | 0.308 | 896 | 5.72 | 17.2 | yes |
+| fargate | 1e+03 | PerQuery-CostAware | 1.26 | 896 | 21.9 | 83 | yes |
+| fargate | 1e+03 | AutoSketch-Adapted | 207 | 1.01e+03 | 4.46e+03 | 5.86e+03 | **no** |
+| fargate | 3e+03 | ASAP | 0.232 | 2.68e+03 | 3.66 | 18.9 | yes |
+| fargate | 3e+03 | ASAP (no roll-ups) | 0.232 | 2.68e+03 | 3.66 | 18.9 | yes |
+| fargate | 3e+03 | PerQuery-CostAware | 1.14 | 2.68e+03 | 18.9 | 84.2 | yes |
+| fargate | 3e+03 | AutoSketch-Adapted | 207 | 1.01e+03 | 4.46e+03 | 5.86e+03 | yes |
+| fargate | 1e+04 | ASAP | 0.232 | 2.68e+03 | 3.66 | 18.9 | yes |
+| fargate | 1e+04 | ASAP (no roll-ups) | 0.232 | 2.68e+03 | 3.66 | 18.9 | yes |
+| fargate | 1e+04 | PerQuery-CostAware | 1.14 | 3.26e+03 | 18.8 | 84.2 | yes |
+| fargate | 1e+04 | AutoSketch-Adapted | 207 | 1.01e+03 | 4.46e+03 | 5.86e+03 | yes |
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | SLA (ms) | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | 0 | 14 | 14 | 36.7 | 36.7 | 0.0% |
+| cpu | 300 | 0 | 13 | 13 | 12.7 | 12.7 | 0.0% |
+| cpu | 1e+03 | 0 | 9 | 9 | 5.71 | 5.71 | 0.0% |
+| cpu | 3e+03 | 0 | 8 | 8 | 3.66 | 3.66 | 0.0% |
+| cpu | 1e+04 | 0 | 8 | 8 | 3.66 | 3.66 | 0.0% |
+| fargate | 100 | 0 | 14 | 14 | 1.59 | 1.59 | 0.0% |
+| fargate | 300 | 0 | 13 | 13 | 0.587 | 0.587 | 0.0% |
+| fargate | 1e+03 | 0 | 9 | 9 | 0.308 | 0.308 | 0.0% |
+| fargate | 3e+03 | 0 | 8 | 8 | 0.232 | 0.232 | 0.0% |
+| fargate | 1e+04 | 0 | 8 | 8 | 0.232 | 0.232 | 0.0% |
+
+## mixed + multi-grouping: 112 RQEs
+
+Sanity violations: 0. Tightest feasible SLA: ASAP 490 ms, PerQuery 490 ms. AutoSketch latency 1.01e+03 ms; planning time (search + measured benchmark) 481 s.
+
+| weights | SLA (ms) | method | cost | latency (ms) | CPU (vCPU) | GiB | meets SLA |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 100 | AutoSketch-Adapted | 3.73e+03 | 1.01e+03 | 3.73e+03 | 5.63e+03 | **no** |
+| cpu | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 300 | AutoSketch-Adapted | 3.73e+03 | 1.01e+03 | 3.73e+03 | 5.63e+03 | **no** |
+| cpu | 1e+03 | ASAP | 5.9 | 980 | 5.9 | 31.7 | yes |
+| cpu | 1e+03 | ASAP (no roll-ups) | 6.23 | 980 | 6.23 | 33.3 | yes |
+| cpu | 1e+03 | PerQuery-CostAware | 14.5 | 980 | 14.5 | 161 | yes |
+| cpu | 1e+03 | AutoSketch-Adapted | 3.73e+03 | 1.01e+03 | 3.73e+03 | 5.63e+03 | **no** |
+| cpu | 3e+03 | ASAP | 3.82 | 2.68e+03 | 3.82 | 19.9 | yes |
+| cpu | 3e+03 | ASAP (no roll-ups) | 4.15 | 2.68e+03 | 4.15 | 21.5 | yes |
+| cpu | 3e+03 | PerQuery-CostAware | 11.9 | 2.68e+03 | 11.9 | 145 | yes |
+| cpu | 3e+03 | AutoSketch-Adapted | 3.73e+03 | 1.01e+03 | 3.73e+03 | 5.63e+03 | yes |
+| cpu | 1e+04 | ASAP | 3.82 | 2.68e+03 | 3.82 | 19.9 | yes |
+| cpu | 1e+04 | ASAP (no roll-ups) | 4.15 | 2.68e+03 | 4.15 | 21.5 | yes |
+| cpu | 1e+04 | PerQuery-CostAware | 11.6 | 3.33e+03 | 11.6 | 80.7 | yes |
+| cpu | 1e+04 | AutoSketch-Adapted | 3.73e+03 | 1.01e+03 | 3.73e+03 | 5.63e+03 | yes |
+| fargate | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 100 | AutoSketch-Adapted | 176 | 1.01e+03 | 3.73e+03 | 5.63e+03 | **no** |
+| fargate | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 300 | AutoSketch-Adapted | 176 | 1.01e+03 | 3.73e+03 | 5.63e+03 | **no** |
+| fargate | 1e+03 | ASAP | 0.321 | 896 | 5.91 | 18.3 | yes |
+| fargate | 1e+03 | ASAP (no roll-ups) | 0.341 | 959 | 6.25 | 19.8 | yes |
+| fargate | 1e+03 | PerQuery-CostAware | 0.923 | 959 | 14.7 | 73.3 | yes |
+| fargate | 1e+03 | AutoSketch-Adapted | 176 | 1.01e+03 | 3.73e+03 | 5.63e+03 | **no** |
+| fargate | 3e+03 | ASAP | 0.243 | 2.68e+03 | 3.82 | 19.9 | yes |
+| fargate | 3e+03 | ASAP (no roll-ups) | 0.264 | 2.68e+03 | 4.16 | 21.4 | yes |
+| fargate | 3e+03 | PerQuery-CostAware | 0.817 | 2.68e+03 | 12 | 74.6 | yes |
+| fargate | 3e+03 | AutoSketch-Adapted | 176 | 1.01e+03 | 3.73e+03 | 5.63e+03 | yes |
+| fargate | 1e+04 | ASAP | 0.243 | 2.68e+03 | 3.82 | 19.9 | yes |
+| fargate | 1e+04 | ASAP (no roll-ups) | 0.264 | 2.68e+03 | 4.16 | 21.4 | yes |
+| fargate | 1e+04 | PerQuery-CostAware | 0.812 | 3.26e+03 | 11.9 | 74.6 | yes |
+| fargate | 1e+04 | AutoSketch-Adapted | 176 | 1.01e+03 | 3.73e+03 | 5.63e+03 | yes |
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | SLA (ms) | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|---|
+| cpu | 1e+03 | 52 | 14 | 35 | 5.9 | 6.23 | 5.3% |
+| cpu | 3e+03 | 52 | 13 | 34 | 3.82 | 4.15 | 8.0% |
+| cpu | 1e+04 | 52 | 13 | 34 | 3.82 | 4.15 | 8.0% |
+| fargate | 1e+03 | 52 | 14 | 35 | 0.321 | 0.341 | 5.9% |
+| fargate | 3e+03 | 52 | 13 | 34 | 0.243 | 0.264 | 7.7% |
+| fargate | 1e+04 | 52 | 13 | 34 | 0.243 | 0.264 | 7.7% |
+
+## multi-grouping, r = 8: 124 RQEs
+
+Sanity violations: 0. Tightest feasible SLA: ASAP 490 ms, PerQuery 490 ms. AutoSketch latency 490 ms; planning time (search + measured benchmark) 269 s.
+
+| weights | SLA (ms) | method | cost | latency (ms) | CPU (vCPU) | GiB | meets SLA |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 100 | AutoSketch-Adapted | 12.3 | 490 | 12.3 | 4.52 | **no** |
+| cpu | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 300 | AutoSketch-Adapted | 12.3 | 490 | 12.3 | 4.52 | **no** |
+| cpu | 1e+03 | ASAP | 0.242 | 557 | 0.242 | 1.06 | yes |
+| cpu | 1e+03 | ASAP (no roll-ups) | 0.573 | 959 | 0.573 | 2.6 | yes |
+| cpu | 1e+03 | PerQuery-CostAware | 2.04 | 959 | 2.04 | 4.69 | yes |
+| cpu | 1e+03 | AutoSketch-Adapted | 12.3 | 490 | 12.3 | 4.52 | yes |
+| cpu | 3e+03 | ASAP | 0.242 | 557 | 0.242 | 1.06 | yes |
+| cpu | 3e+03 | ASAP (no roll-ups) | 0.573 | 959 | 0.573 | 2.6 | yes |
+| cpu | 3e+03 | PerQuery-CostAware | 2.04 | 959 | 2.04 | 4.69 | yes |
+| cpu | 3e+03 | AutoSketch-Adapted | 12.3 | 490 | 12.3 | 4.52 | yes |
+| cpu | 1e+04 | ASAP | 0.242 | 557 | 0.242 | 1.06 | yes |
+| cpu | 1e+04 | ASAP (no roll-ups) | 0.573 | 959 | 0.573 | 2.6 | yes |
+| cpu | 1e+04 | PerQuery-CostAware | 2.04 | 959 | 2.04 | 4.69 | yes |
+| cpu | 1e+04 | AutoSketch-Adapted | 12.3 | 490 | 12.3 | 4.52 | yes |
+| fargate | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 100 | AutoSketch-Adapted | 0.517 | 490 | 12.3 | 4.52 | **no** |
+| fargate | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 300 | AutoSketch-Adapted | 0.517 | 490 | 12.3 | 4.52 | **no** |
+| fargate | 1e+03 | ASAP | 0.0145 | 557 | 0.245 | 1.03 | yes |
+| fargate | 1e+03 | ASAP (no roll-ups) | 0.0347 | 959 | 0.581 | 2.52 | yes |
+| fargate | 1e+03 | PerQuery-CostAware | 0.104 | 959 | 2.05 | 4.62 | yes |
+| fargate | 1e+03 | AutoSketch-Adapted | 0.517 | 490 | 12.3 | 4.52 | yes |
+| fargate | 3e+03 | ASAP | 0.0145 | 557 | 0.245 | 1.03 | yes |
+| fargate | 3e+03 | ASAP (no roll-ups) | 0.0347 | 959 | 0.581 | 2.52 | yes |
+| fargate | 3e+03 | PerQuery-CostAware | 0.104 | 959 | 2.05 | 4.62 | yes |
+| fargate | 3e+03 | AutoSketch-Adapted | 0.517 | 490 | 12.3 | 4.52 | yes |
+| fargate | 1e+04 | ASAP | 0.0145 | 557 | 0.245 | 1.03 | yes |
+| fargate | 1e+04 | ASAP (no roll-ups) | 0.0347 | 959 | 0.581 | 2.52 | yes |
+| fargate | 1e+04 | PerQuery-CostAware | 0.104 | 959 | 2.05 | 4.62 | yes |
+| fargate | 1e+04 | AutoSketch-Adapted | 0.517 | 490 | 12.3 | 4.52 | yes |
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | SLA (ms) | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|---|
+| cpu | 1e+03 | 104 | 5 | 26 | 0.242 | 0.573 | 57.8% |
+| cpu | 3e+03 | 104 | 5 | 26 | 0.242 | 0.573 | 57.8% |
+| cpu | 1e+04 | 104 | 5 | 26 | 0.242 | 0.573 | 57.8% |
+| fargate | 1e+03 | 104 | 5 | 26 | 0.0145 | 0.0347 | 58.2% |
+| fargate | 3e+03 | 104 | 5 | 26 | 0.0145 | 0.0347 | 58.2% |
+| fargate | 1e+04 | 104 | 5 | 26 | 0.0145 | 0.0347 | 58.2% |
+
+## mixed + multi-grouping, r = 8: 216 RQEs
+
+Sanity violations: 0. Tightest feasible SLA: ASAP 490 ms, PerQuery 490 ms. AutoSketch latency 1.01e+03 ms; planning time (search + measured benchmark) 481 s.
+
+| weights | SLA (ms) | method | cost | latency (ms) | CPU (vCPU) | GiB | meets SLA |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 100 | AutoSketch-Adapted | 4.47e+03 | 1.01e+03 | 4.47e+03 | 5.86e+03 | **no** |
+| cpu | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 300 | AutoSketch-Adapted | 4.47e+03 | 1.01e+03 | 4.47e+03 | 5.86e+03 | **no** |
+| cpu | 1e+03 | ASAP | 5.95 | 980 | 5.95 | 31.7 | yes |
+| cpu | 1e+03 | ASAP (no roll-ups) | 6.28 | 980 | 6.28 | 33.3 | yes |
+| cpu | 1e+03 | PerQuery-CostAware | 23.7 | 980 | 23.7 | 192 | yes |
+| cpu | 1e+03 | AutoSketch-Adapted | 4.47e+03 | 1.01e+03 | 4.47e+03 | 5.86e+03 | **no** |
+| cpu | 3e+03 | ASAP | 3.9 | 2.68e+03 | 3.9 | 19.9 | yes |
+| cpu | 3e+03 | ASAP (no roll-ups) | 4.23 | 2.68e+03 | 4.23 | 21.5 | yes |
+| cpu | 3e+03 | PerQuery-CostAware | 20.9 | 2.68e+03 | 20.9 | 177 | yes |
+| cpu | 3e+03 | AutoSketch-Adapted | 4.47e+03 | 1.01e+03 | 4.47e+03 | 5.86e+03 | yes |
+| cpu | 1e+04 | ASAP | 3.9 | 2.68e+03 | 3.9 | 19.9 | yes |
+| cpu | 1e+04 | ASAP (no roll-ups) | 4.23 | 2.68e+03 | 4.23 | 21.5 | yes |
+| cpu | 1e+04 | PerQuery-CostAware | 20.5 | 3.33e+03 | 20.5 | 112 | yes |
+| cpu | 1e+04 | AutoSketch-Adapted | 4.47e+03 | 1.01e+03 | 4.47e+03 | 5.86e+03 | yes |
+| fargate | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 100 | AutoSketch-Adapted | 207 | 1.01e+03 | 4.47e+03 | 5.86e+03 | **no** |
+| fargate | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 300 | AutoSketch-Adapted | 207 | 1.01e+03 | 4.47e+03 | 5.86e+03 | **no** |
+| fargate | 1e+03 | ASAP | 0.323 | 896 | 5.96 | 18.3 | yes |
+| fargate | 1e+03 | ASAP (no roll-ups) | 0.343 | 959 | 6.3 | 19.8 | yes |
+| fargate | 1e+03 | PerQuery-CostAware | 1.36 | 959 | 24 | 87.6 | yes |
+| fargate | 1e+03 | AutoSketch-Adapted | 207 | 1.01e+03 | 4.47e+03 | 5.86e+03 | **no** |
+| fargate | 3e+03 | ASAP | 0.247 | 2.68e+03 | 3.91 | 19.9 | yes |
+| fargate | 3e+03 | ASAP (no roll-ups) | 0.267 | 2.68e+03 | 4.24 | 21.4 | yes |
+| fargate | 3e+03 | PerQuery-CostAware | 1.25 | 2.68e+03 | 21 | 88.8 | yes |
+| fargate | 3e+03 | AutoSketch-Adapted | 207 | 1.01e+03 | 4.47e+03 | 5.86e+03 | yes |
+| fargate | 1e+04 | ASAP | 0.247 | 2.68e+03 | 3.91 | 19.9 | yes |
+| fargate | 1e+04 | ASAP (no roll-ups) | 0.267 | 2.68e+03 | 4.24 | 21.4 | yes |
+| fargate | 1e+04 | PerQuery-CostAware | 1.24 | 3.26e+03 | 20.9 | 88.8 | yes |
+| fargate | 1e+04 | AutoSketch-Adapted | 207 | 1.01e+03 | 4.47e+03 | 5.86e+03 | yes |
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | SLA (ms) | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|---|
+| cpu | 1e+03 | 104 | 14 | 35 | 5.95 | 6.28 | 5.3% |
+| cpu | 3e+03 | 104 | 13 | 34 | 3.9 | 4.23 | 7.8% |
+| cpu | 1e+04 | 104 | 13 | 34 | 3.9 | 4.23 | 7.8% |
+| fargate | 1e+03 | 104 | 14 | 35 | 0.323 | 0.343 | 5.9% |
+| fargate | 3e+03 | 104 | 13 | 34 | 0.247 | 0.267 | 7.6% |
+| fargate | 1e+04 | 104 | 13 | 34 | 0.247 | 0.267 | 7.6% |
+
+## mixed, m = 8: 400 RQEs
+
+Sanity violations: 0. Tightest feasible SLA: ASAP 87.7 ms, PerQuery 87.7 ms. AutoSketch latency 1.01e+03 ms; planning time (search + measured benchmark) 1.7e+03 s.
+
+| weights | SLA (ms) | method | cost | latency (ms) | CPU (vCPU) | GiB | meets SLA |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | ASAP | 294 | 99.8 | 294 | 278 | yes |
+| cpu | 100 | ASAP (no roll-ups) | 294 | 99.8 | 294 | 278 | yes |
+| cpu | 100 | PerQuery-CostAware | 516 | 97.4 | 516 | 612 | yes |
+| cpu | 100 | AutoSketch-Adapted | 2.97e+04 | 1.01e+03 | 2.97e+04 | 4.5e+04 | **no** |
+| cpu | 300 | ASAP | 101 | 291 | 101 | 132 | yes |
+| cpu | 300 | ASAP (no roll-ups) | 101 | 291 | 101 | 132 | yes |
+| cpu | 300 | PerQuery-CostAware | 198 | 291 | 198 | 551 | yes |
+| cpu | 300 | AutoSketch-Adapted | 2.97e+04 | 1.01e+03 | 2.97e+04 | 4.5e+04 | **no** |
+| cpu | 1e+03 | ASAP | 45.4 | 980 | 45.4 | 245 | yes |
+| cpu | 1e+03 | ASAP (no roll-ups) | 45.4 | 980 | 45.4 | 245 | yes |
+| cpu | 1e+03 | PerQuery-CostAware | 108 | 980 | 108 | 1.26e+03 | yes |
+| cpu | 1e+03 | AutoSketch-Adapted | 2.97e+04 | 1.01e+03 | 2.97e+04 | 4.5e+04 | **no** |
+| cpu | 3e+03 | ASAP | 28.8 | 2.68e+03 | 28.8 | 151 | yes |
+| cpu | 3e+03 | ASAP (no roll-ups) | 28.8 | 2.68e+03 | 28.8 | 151 | yes |
+| cpu | 3e+03 | PerQuery-CostAware | 86.7 | 2.68e+03 | 86.7 | 1.13e+03 | yes |
+| cpu | 3e+03 | AutoSketch-Adapted | 2.97e+04 | 1.01e+03 | 2.97e+04 | 4.5e+04 | yes |
+| cpu | 1e+04 | ASAP | 28.8 | 2.68e+03 | 28.8 | 151 | yes |
+| cpu | 1e+04 | ASAP (no roll-ups) | 28.8 | 2.68e+03 | 28.8 | 151 | yes |
+| cpu | 1e+04 | PerQuery-CostAware | 84.1 | 3.33e+03 | 84.1 | 616 | yes |
+| cpu | 1e+04 | AutoSketch-Adapted | 2.97e+04 | 1.01e+03 | 2.97e+04 | 4.5e+04 | yes |
+| fargate | 100 | ASAP | 12.7 | 96.9 | 297 | 151 | yes |
+| fargate | 100 | ASAP (no roll-ups) | 12.7 | 96.9 | 297 | 151 | yes |
+| fargate | 100 | PerQuery-CostAware | 23.6 | 97.4 | 516 | 606 | yes |
+| fargate | 100 | AutoSketch-Adapted | 1.4e+03 | 1.01e+03 | 2.97e+04 | 4.5e+04 | **no** |
+| fargate | 300 | ASAP | 4.69 | 291 | 101 | 132 | yes |
+| fargate | 300 | ASAP (no roll-ups) | 4.69 | 291 | 101 | 132 | yes |
+| fargate | 300 | PerQuery-CostAware | 10.4 | 291 | 198 | 545 | yes |
+| fargate | 300 | AutoSketch-Adapted | 1.4e+03 | 1.01e+03 | 2.97e+04 | 4.5e+04 | **no** |
+| fargate | 1e+03 | ASAP | 2.46 | 896 | 45.5 | 138 | yes |
+| fargate | 1e+03 | ASAP (no roll-ups) | 2.46 | 896 | 45.5 | 138 | yes |
+| fargate | 1e+03 | PerQuery-CostAware | 6.91 | 896 | 109 | 558 | yes |
+| fargate | 1e+03 | AutoSketch-Adapted | 1.4e+03 | 1.01e+03 | 2.97e+04 | 4.5e+04 | **no** |
+| fargate | 3e+03 | ASAP | 1.84 | 2.68e+03 | 28.8 | 151 | yes |
+| fargate | 3e+03 | ASAP (no roll-ups) | 1.84 | 2.68e+03 | 28.8 | 151 | yes |
+| fargate | 3e+03 | PerQuery-CostAware | 6.06 | 2.68e+03 | 87.2 | 568 | yes |
+| fargate | 3e+03 | AutoSketch-Adapted | 1.4e+03 | 1.01e+03 | 2.97e+04 | 4.5e+04 | yes |
+| fargate | 1e+04 | ASAP | 1.84 | 2.68e+03 | 28.8 | 151 | yes |
+| fargate | 1e+04 | ASAP (no roll-ups) | 1.84 | 2.68e+03 | 28.8 | 151 | yes |
+| fargate | 1e+04 | PerQuery-CostAware | 6.02 | 3.26e+03 | 86.2 | 568 | yes |
+| fargate | 1e+04 | AutoSketch-Adapted | 1.4e+03 | 1.01e+03 | 2.97e+04 | 4.5e+04 | yes |
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | SLA (ms) | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | 0 | 112 | 112 | 294 | 294 | 0.0% |
+| cpu | 300 | 0 | 104 | 104 | 101 | 101 | 0.0% |
+| cpu | 1e+03 | 0 | 72 | 72 | 45.4 | 45.4 | 0.0% |
+| cpu | 3e+03 | 0 | 64 | 64 | 28.8 | 28.8 | 0.0% |
+| cpu | 1e+04 | 0 | 64 | 64 | 28.8 | 28.8 | 0.0% |
+| fargate | 100 | 0 | 112 | 112 | 12.7 | 12.7 | 0.0% |
+| fargate | 300 | 0 | 104 | 104 | 4.69 | 4.69 | 0.0% |
+| fargate | 1e+03 | 0 | 72 | 72 | 2.46 | 2.46 | 0.0% |
+| fargate | 3e+03 | 0 | 64 | 64 | 1.84 | 1.84 | 0.0% |
+| fargate | 1e+04 | 0 | 64 | 64 | 1.84 | 1.84 | 0.0% |
+
+## multi-grouping, m = 8: 496 RQEs
+
+Sanity violations: 0. Tightest feasible SLA: ASAP 490 ms, PerQuery 490 ms. AutoSketch latency 490 ms; planning time (search + measured benchmark) 2.15e+03 s.
+
+| weights | SLA (ms) | method | cost | latency (ms) | CPU (vCPU) | GiB | meets SLA |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 100 | AutoSketch-Adapted | 81.7 | 490 | 81.7 | 28.4 | **no** |
+| cpu | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 300 | AutoSketch-Adapted | 81.7 | 490 | 81.7 | 28.4 | **no** |
+| cpu | 1e+03 | ASAP | 1.77 | 557 | 1.77 | 8.52 | yes |
+| cpu | 1e+03 | ASAP (no roll-ups) | 4.41 | 959 | 4.41 | 20.8 | yes |
+| cpu | 1e+03 | PerQuery-CostAware | 8.55 | 959 | 8.55 | 29.5 | yes |
+| cpu | 1e+03 | AutoSketch-Adapted | 81.7 | 490 | 81.7 | 28.4 | yes |
+| cpu | 3e+03 | ASAP | 1.77 | 557 | 1.77 | 8.52 | yes |
+| cpu | 3e+03 | ASAP (no roll-ups) | 4.41 | 959 | 4.41 | 20.8 | yes |
+| cpu | 3e+03 | PerQuery-CostAware | 8.55 | 959 | 8.55 | 29.5 | yes |
+| cpu | 3e+03 | AutoSketch-Adapted | 81.7 | 490 | 81.7 | 28.4 | yes |
+| cpu | 1e+04 | ASAP | 1.77 | 557 | 1.77 | 8.52 | yes |
+| cpu | 1e+04 | ASAP (no roll-ups) | 4.41 | 959 | 4.41 | 20.8 | yes |
+| cpu | 1e+04 | PerQuery-CostAware | 8.55 | 959 | 8.55 | 29.5 | yes |
+| cpu | 1e+04 | AutoSketch-Adapted | 81.7 | 490 | 81.7 | 28.4 | yes |
+| fargate | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 100 | AutoSketch-Adapted | 3.44 | 490 | 81.7 | 28.4 | **no** |
+| fargate | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 300 | AutoSketch-Adapted | 3.44 | 490 | 81.7 | 28.4 | **no** |
+| fargate | 1e+03 | ASAP | 0.109 | 557 | 1.79 | 8.22 | yes |
+| fargate | 1e+03 | ASAP (no roll-ups) | 0.271 | 959 | 4.47 | 20.2 | yes |
+| fargate | 1e+03 | PerQuery-CostAware | 0.477 | 959 | 8.61 | 28.9 | yes |
+| fargate | 1e+03 | AutoSketch-Adapted | 3.44 | 490 | 81.7 | 28.4 | yes |
+| fargate | 3e+03 | ASAP | 0.109 | 557 | 1.79 | 8.22 | yes |
+| fargate | 3e+03 | ASAP (no roll-ups) | 0.271 | 959 | 4.47 | 20.2 | yes |
+| fargate | 3e+03 | PerQuery-CostAware | 0.477 | 959 | 8.61 | 28.9 | yes |
+| fargate | 3e+03 | AutoSketch-Adapted | 3.44 | 490 | 81.7 | 28.4 | yes |
+| fargate | 1e+04 | ASAP | 0.109 | 557 | 1.79 | 8.22 | yes |
+| fargate | 1e+04 | ASAP (no roll-ups) | 0.271 | 959 | 4.47 | 20.2 | yes |
+| fargate | 1e+04 | PerQuery-CostAware | 0.477 | 959 | 8.61 | 28.9 | yes |
+| fargate | 1e+04 | AutoSketch-Adapted | 3.44 | 490 | 81.7 | 28.4 | yes |
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | SLA (ms) | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|---|
+| cpu | 1e+03 | 416 | 40 | 208 | 1.77 | 4.41 | 59.9% |
+| cpu | 3e+03 | 416 | 40 | 208 | 1.77 | 4.41 | 59.9% |
+| cpu | 1e+04 | 416 | 40 | 208 | 1.77 | 4.41 | 59.9% |
+| fargate | 1e+03 | 416 | 40 | 208 | 0.109 | 0.271 | 59.7% |
+| fargate | 3e+03 | 416 | 40 | 208 | 0.109 | 0.271 | 59.7% |
+| fargate | 1e+04 | 416 | 40 | 208 | 0.109 | 0.271 | 59.7% |
+
+## mixed, m = 16: 800 RQEs
+
+Sanity violations: 0. Tightest feasible SLA: ASAP 87.7 ms, PerQuery 87.7 ms. AutoSketch latency 1.01e+03 ms; planning time (search + measured benchmark) 3.39e+03 s.
+
+| weights | SLA (ms) | method | cost | latency (ms) | CPU (vCPU) | GiB | meets SLA |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | ASAP | 588 | 99.8 | 588 | 556 | yes |
+| cpu | 100 | ASAP (no roll-ups) | 588 | 99.8 | 588 | 556 | yes |
+| cpu | 100 | PerQuery-CostAware | 1.03e+03 | 97.4 | 1.03e+03 | 1.22e+03 | yes |
+| cpu | 100 | AutoSketch-Adapted | 5.95e+04 | 1.01e+03 | 5.95e+04 | 9e+04 | **no** |
+| cpu | 300 | ASAP | 203 | 291 | 203 | 264 | yes |
+| cpu | 300 | ASAP (no roll-ups) | 203 | 291 | 203 | 264 | yes |
+| cpu | 300 | PerQuery-CostAware | 395 | 291 | 395 | 1.1e+03 | yes |
+| cpu | 300 | AutoSketch-Adapted | 5.95e+04 | 1.01e+03 | 5.95e+04 | 9e+04 | **no** |
+| cpu | 1e+03 | ASAP | 90.8 | 980 | 90.8 | 491 | yes |
+| cpu | 1e+03 | ASAP (no roll-ups) | 90.8 | 980 | 90.8 | 491 | yes |
+| cpu | 1e+03 | PerQuery-CostAware | 215 | 980 | 215 | 2.52e+03 | yes |
+| cpu | 1e+03 | AutoSketch-Adapted | 5.95e+04 | 1.01e+03 | 5.95e+04 | 9e+04 | **no** |
+| cpu | 3e+03 | ASAP | 57.6 | 2.68e+03 | 57.6 | 302 | yes |
+| cpu | 3e+03 | ASAP (no roll-ups) | 57.6 | 2.68e+03 | 57.6 | 302 | yes |
+| cpu | 3e+03 | PerQuery-CostAware | 173 | 2.68e+03 | 173 | 2.27e+03 | yes |
+| cpu | 3e+03 | AutoSketch-Adapted | 5.95e+04 | 1.01e+03 | 5.95e+04 | 9e+04 | yes |
+| cpu | 1e+04 | ASAP | 57.6 | 2.68e+03 | 57.6 | 302 | yes |
+| cpu | 1e+04 | ASAP (no roll-ups) | 57.6 | 2.68e+03 | 57.6 | 302 | yes |
+| cpu | 1e+04 | PerQuery-CostAware | 168 | 3.33e+03 | 168 | 1.23e+03 | yes |
+| cpu | 1e+04 | AutoSketch-Adapted | 5.95e+04 | 1.01e+03 | 5.95e+04 | 9e+04 | yes |
+| fargate | 100 | ASAP | 25.4 | 96.9 | 593 | 301 | yes |
+| fargate | 100 | ASAP (no roll-ups) | 25.4 | 96.9 | 593 | 301 | yes |
+| fargate | 100 | PerQuery-CostAware | 47.2 | 97.4 | 1.03e+03 | 1.21e+03 | yes |
+| fargate | 100 | AutoSketch-Adapted | 2.81e+03 | 1.01e+03 | 5.95e+04 | 9e+04 | **no** |
+| fargate | 300 | ASAP | 9.38 | 291 | 203 | 264 | yes |
+| fargate | 300 | ASAP (no roll-ups) | 9.38 | 291 | 203 | 264 | yes |
+| fargate | 300 | PerQuery-CostAware | 20.9 | 291 | 395 | 1.09e+03 | yes |
+| fargate | 300 | AutoSketch-Adapted | 2.81e+03 | 1.01e+03 | 5.95e+04 | 9e+04 | **no** |
+| fargate | 1e+03 | ASAP | 4.91 | 896 | 91 | 276 | yes |
+| fargate | 1e+03 | ASAP (no roll-ups) | 4.91 | 896 | 91 | 276 | yes |
+| fargate | 1e+03 | PerQuery-CostAware | 13.8 | 896 | 219 | 1.12e+03 | yes |
+| fargate | 1e+03 | AutoSketch-Adapted | 2.81e+03 | 1.01e+03 | 5.95e+04 | 9e+04 | **no** |
+| fargate | 3e+03 | ASAP | 3.68 | 2.68e+03 | 57.6 | 302 | yes |
+| fargate | 3e+03 | ASAP (no roll-ups) | 3.68 | 2.68e+03 | 57.6 | 302 | yes |
+| fargate | 3e+03 | PerQuery-CostAware | 12.1 | 2.68e+03 | 174 | 1.14e+03 | yes |
+| fargate | 3e+03 | AutoSketch-Adapted | 2.81e+03 | 1.01e+03 | 5.95e+04 | 9e+04 | yes |
+| fargate | 1e+04 | ASAP | 3.68 | 2.68e+03 | 57.6 | 302 | yes |
+| fargate | 1e+04 | ASAP (no roll-ups) | 3.68 | 2.68e+03 | 57.6 | 302 | yes |
+| fargate | 1e+04 | PerQuery-CostAware | 12 | 3.26e+03 | 172 | 1.14e+03 | yes |
+| fargate | 1e+04 | AutoSketch-Adapted | 2.81e+03 | 1.01e+03 | 5.95e+04 | 9e+04 | yes |
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | SLA (ms) | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | 0 | 224 | 224 | 588 | 588 | 0.0% |
+| cpu | 300 | 0 | 208 | 208 | 203 | 203 | 0.0% |
+| cpu | 1e+03 | 0 | 144 | 144 | 90.8 | 90.8 | 0.0% |
+| cpu | 3e+03 | 0 | 128 | 128 | 57.6 | 57.6 | 0.0% |
+| cpu | 1e+04 | 0 | 128 | 128 | 57.6 | 57.6 | 0.0% |
+| fargate | 100 | 0 | 224 | 224 | 25.4 | 25.4 | 0.0% |
+| fargate | 300 | 0 | 208 | 208 | 9.38 | 9.38 | 0.0% |
+| fargate | 1e+03 | 0 | 144 | 144 | 4.91 | 4.91 | 0.0% |
+| fargate | 3e+03 | 0 | 128 | 128 | 3.68 | 3.68 | 0.0% |
+| fargate | 1e+04 | 0 | 128 | 128 | 3.68 | 3.68 | 0.0% |
+
+## mixed + multi-grouping, m = 8: 896 RQEs
+
+Sanity violations: 0. Tightest feasible SLA: ASAP 490 ms, PerQuery 490 ms. AutoSketch latency 1.01e+03 ms; planning time (search + measured benchmark) 3.85e+03 s.
+
+| weights | SLA (ms) | method | cost | latency (ms) | CPU (vCPU) | GiB | meets SLA |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 100 | AutoSketch-Adapted | 2.98e+04 | 1.01e+03 | 2.98e+04 | 4.5e+04 | **no** |
+| cpu | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 300 | AutoSketch-Adapted | 2.98e+04 | 1.01e+03 | 2.98e+04 | 4.5e+04 | **no** |
+| cpu | 1e+03 | ASAP | 47.2 | 980 | 47.2 | 254 | yes |
+| cpu | 1e+03 | ASAP (no roll-ups) | 49.8 | 980 | 49.8 | 266 | yes |
+| cpu | 1e+03 | PerQuery-CostAware | 116 | 980 | 116 | 1.29e+03 | yes |
+| cpu | 1e+03 | AutoSketch-Adapted | 2.98e+04 | 1.01e+03 | 2.98e+04 | 4.5e+04 | **no** |
+| cpu | 3e+03 | ASAP | 30.6 | 2.68e+03 | 30.6 | 159 | yes |
+| cpu | 3e+03 | ASAP (no roll-ups) | 33.2 | 2.68e+03 | 33.2 | 172 | yes |
+| cpu | 3e+03 | PerQuery-CostAware | 95.2 | 2.68e+03 | 95.2 | 1.16e+03 | yes |
+| cpu | 3e+03 | AutoSketch-Adapted | 2.98e+04 | 1.01e+03 | 2.98e+04 | 4.5e+04 | yes |
+| cpu | 1e+04 | ASAP | 30.6 | 2.68e+03 | 30.6 | 159 | yes |
+| cpu | 1e+04 | ASAP (no roll-ups) | 33.2 | 2.68e+03 | 33.2 | 172 | yes |
+| cpu | 1e+04 | PerQuery-CostAware | 92.7 | 3.33e+03 | 92.7 | 646 | yes |
+| cpu | 1e+04 | AutoSketch-Adapted | 2.98e+04 | 1.01e+03 | 2.98e+04 | 4.5e+04 | yes |
+| fargate | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 100 | AutoSketch-Adapted | 1.41e+03 | 1.01e+03 | 2.98e+04 | 4.5e+04 | **no** |
+| fargate | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 300 | AutoSketch-Adapted | 1.41e+03 | 1.01e+03 | 2.98e+04 | 4.5e+04 | **no** |
+| fargate | 1e+03 | ASAP | 2.57 | 896 | 47.3 | 146 | yes |
+| fargate | 1e+03 | ASAP (no roll-ups) | 2.73 | 959 | 50 | 158 | yes |
+| fargate | 1e+03 | PerQuery-CostAware | 7.39 | 959 | 118 | 586 | yes |
+| fargate | 1e+03 | AutoSketch-Adapted | 1.41e+03 | 1.01e+03 | 2.98e+04 | 4.5e+04 | **no** |
+| fargate | 3e+03 | ASAP | 1.95 | 2.68e+03 | 30.6 | 159 | yes |
+| fargate | 3e+03 | ASAP (no roll-ups) | 2.11 | 2.68e+03 | 33.3 | 171 | yes |
+| fargate | 3e+03 | PerQuery-CostAware | 6.53 | 2.68e+03 | 95.8 | 596 | yes |
+| fargate | 3e+03 | AutoSketch-Adapted | 1.41e+03 | 1.01e+03 | 2.98e+04 | 4.5e+04 | yes |
+| fargate | 1e+04 | ASAP | 1.95 | 2.68e+03 | 30.6 | 159 | yes |
+| fargate | 1e+04 | ASAP (no roll-ups) | 2.11 | 2.68e+03 | 33.3 | 171 | yes |
+| fargate | 1e+04 | PerQuery-CostAware | 6.49 | 3.26e+03 | 94.8 | 596 | yes |
+| fargate | 1e+04 | AutoSketch-Adapted | 1.41e+03 | 1.01e+03 | 2.98e+04 | 4.5e+04 | yes |
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | SLA (ms) | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|---|
+| cpu | 1e+03 | 416 | 112 | 280 | 47.2 | 49.8 | 5.3% |
+| cpu | 3e+03 | 416 | 104 | 272 | 30.6 | 33.2 | 8.0% |
+| cpu | 1e+04 | 416 | 104 | 272 | 30.6 | 33.2 | 8.0% |
+| fargate | 1e+03 | 416 | 112 | 280 | 2.57 | 2.73 | 5.9% |
+| fargate | 3e+03 | 416 | 104 | 272 | 1.95 | 2.11 | 7.7% |
+| fargate | 1e+04 | 416 | 104 | 272 | 1.95 | 2.11 | 7.7% |
+
+## multi-grouping, m = 16: 992 RQEs
+
+Sanity violations: 0. Tightest feasible SLA: ASAP 490 ms, PerQuery 490 ms. AutoSketch latency 490 ms; planning time (search + measured benchmark) 4.31e+03 s.
+
+| weights | SLA (ms) | method | cost | latency (ms) | CPU (vCPU) | GiB | meets SLA |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 100 | AutoSketch-Adapted | 163 | 490 | 163 | 56.8 | **no** |
+| cpu | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 300 | AutoSketch-Adapted | 163 | 490 | 163 | 56.8 | **no** |
+| cpu | 1e+03 | ASAP | 3.53 | 557 | 3.53 | 17 | yes |
+| cpu | 1e+03 | ASAP (no roll-ups) | 8.81 | 959 | 8.81 | 41.5 | yes |
+| cpu | 1e+03 | PerQuery-CostAware | 17.1 | 959 | 17.1 | 59 | yes |
+| cpu | 1e+03 | AutoSketch-Adapted | 163 | 490 | 163 | 56.8 | yes |
+| cpu | 3e+03 | ASAP | 3.53 | 557 | 3.53 | 17 | yes |
+| cpu | 3e+03 | ASAP (no roll-ups) | 8.81 | 959 | 8.81 | 41.5 | yes |
+| cpu | 3e+03 | PerQuery-CostAware | 17.1 | 959 | 17.1 | 59 | yes |
+| cpu | 3e+03 | AutoSketch-Adapted | 163 | 490 | 163 | 56.8 | yes |
+| cpu | 1e+04 | ASAP | 3.53 | 557 | 3.53 | 17 | yes |
+| cpu | 1e+04 | ASAP (no roll-ups) | 8.81 | 959 | 8.81 | 41.5 | yes |
+| cpu | 1e+04 | PerQuery-CostAware | 17.1 | 959 | 17.1 | 59 | yes |
+| cpu | 1e+04 | AutoSketch-Adapted | 163 | 490 | 163 | 56.8 | yes |
+| fargate | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 100 | AutoSketch-Adapted | 6.87 | 490 | 163 | 56.8 | **no** |
+| fargate | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 300 | AutoSketch-Adapted | 6.87 | 490 | 163 | 56.8 | **no** |
+| fargate | 1e+03 | ASAP | 0.218 | 557 | 3.59 | 16.4 | yes |
+| fargate | 1e+03 | ASAP (no roll-ups) | 0.542 | 959 | 8.94 | 40.4 | yes |
+| fargate | 1e+03 | PerQuery-CostAware | 0.955 | 959 | 17.2 | 57.8 | yes |
+| fargate | 1e+03 | AutoSketch-Adapted | 6.87 | 490 | 163 | 56.8 | yes |
+| fargate | 3e+03 | ASAP | 0.218 | 557 | 3.59 | 16.4 | yes |
+| fargate | 3e+03 | ASAP (no roll-ups) | 0.542 | 959 | 8.94 | 40.4 | yes |
+| fargate | 3e+03 | PerQuery-CostAware | 0.955 | 959 | 17.2 | 57.8 | yes |
+| fargate | 3e+03 | AutoSketch-Adapted | 6.87 | 490 | 163 | 56.8 | yes |
+| fargate | 1e+04 | ASAP | 0.218 | 557 | 3.59 | 16.4 | yes |
+| fargate | 1e+04 | ASAP (no roll-ups) | 0.542 | 959 | 8.94 | 40.4 | yes |
+| fargate | 1e+04 | PerQuery-CostAware | 0.955 | 959 | 17.2 | 57.8 | yes |
+| fargate | 1e+04 | AutoSketch-Adapted | 6.87 | 490 | 163 | 56.8 | yes |
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | SLA (ms) | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|---|
+| cpu | 1e+03 | 832 | 80 | 416 | 3.53 | 8.81 | 59.9% |
+| cpu | 3e+03 | 832 | 80 | 416 | 3.53 | 8.81 | 59.9% |
+| cpu | 1e+04 | 832 | 80 | 416 | 3.53 | 8.81 | 59.9% |
+| fargate | 1e+03 | 832 | 80 | 416 | 0.218 | 0.542 | 59.7% |
+| fargate | 3e+03 | 832 | 80 | 416 | 0.218 | 0.542 | 59.7% |
+| fargate | 1e+04 | 832 | 80 | 416 | 0.218 | 0.542 | 59.7% |
+
+## mixed + multi-grouping, m = 16: 1792 RQEs
+
+Sanity violations: 0. Tightest feasible SLA: ASAP 490 ms, PerQuery 490 ms. AutoSketch latency 1.01e+03 ms; planning time (search + measured benchmark) 7.7e+03 s.
+
+| weights | SLA (ms) | method | cost | latency (ms) | CPU (vCPU) | GiB | meets SLA |
+|---|---|---|---|---|---|---|---|
+| cpu | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 100 | AutoSketch-Adapted | 5.96e+04 | 1.01e+03 | 5.96e+04 | 9e+04 | **no** |
+| cpu | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| cpu | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| cpu | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| cpu | 300 | AutoSketch-Adapted | 5.96e+04 | 1.01e+03 | 5.96e+04 | 9e+04 | **no** |
+| cpu | 1e+03 | ASAP | 94.3 | 980 | 94.3 | 508 | yes |
+| cpu | 1e+03 | ASAP (no roll-ups) | 99.6 | 980 | 99.6 | 532 | yes |
+| cpu | 1e+03 | PerQuery-CostAware | 232 | 980 | 232 | 2.57e+03 | yes |
+| cpu | 1e+03 | AutoSketch-Adapted | 5.96e+04 | 1.01e+03 | 5.96e+04 | 9e+04 | **no** |
+| cpu | 3e+03 | ASAP | 61.1 | 2.68e+03 | 61.1 | 319 | yes |
+| cpu | 3e+03 | ASAP (no roll-ups) | 66.4 | 2.68e+03 | 66.4 | 343 | yes |
+| cpu | 3e+03 | PerQuery-CostAware | 190 | 2.68e+03 | 190 | 2.33e+03 | yes |
+| cpu | 3e+03 | AutoSketch-Adapted | 5.96e+04 | 1.01e+03 | 5.96e+04 | 9e+04 | yes |
+| cpu | 1e+04 | ASAP | 61.1 | 2.68e+03 | 61.1 | 319 | yes |
+| cpu | 1e+04 | ASAP (no roll-ups) | 66.4 | 2.68e+03 | 66.4 | 343 | yes |
+| cpu | 1e+04 | PerQuery-CostAware | 185 | 3.33e+03 | 185 | 1.29e+03 | yes |
+| cpu | 1e+04 | AutoSketch-Adapted | 5.96e+04 | 1.01e+03 | 5.96e+04 | 9e+04 | yes |
+| fargate | 100 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 100 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 100 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 100 | AutoSketch-Adapted | 2.81e+03 | 1.01e+03 | 5.96e+04 | 9e+04 | **no** |
+| fargate | 300 | ASAP | infeasible (tightest 490 ms) |||||
+| fargate | 300 | ASAP (no roll-ups) | infeasible (tightest 490 ms) |||||
+| fargate | 300 | PerQuery-CostAware | infeasible (tightest 490 ms) |||||
+| fargate | 300 | AutoSketch-Adapted | 2.81e+03 | 1.01e+03 | 5.96e+04 | 9e+04 | **no** |
+| fargate | 1e+03 | ASAP | 5.13 | 896 | 94.6 | 292 | yes |
+| fargate | 1e+03 | ASAP (no roll-ups) | 5.46 | 959 | 100 | 316 | yes |
+| fargate | 1e+03 | PerQuery-CostAware | 14.8 | 959 | 236 | 1.17e+03 | yes |
+| fargate | 1e+03 | AutoSketch-Adapted | 2.81e+03 | 1.01e+03 | 5.96e+04 | 9e+04 | **no** |
+| fargate | 3e+03 | ASAP | 3.89 | 2.68e+03 | 61.2 | 318 | yes |
+| fargate | 3e+03 | ASAP (no roll-ups) | 4.22 | 2.68e+03 | 66.5 | 342 | yes |
+| fargate | 3e+03 | PerQuery-CostAware | 13.1 | 2.68e+03 | 192 | 1.19e+03 | yes |
+| fargate | 3e+03 | AutoSketch-Adapted | 2.81e+03 | 1.01e+03 | 5.96e+04 | 9e+04 | yes |
+| fargate | 1e+04 | ASAP | 3.89 | 2.68e+03 | 61.2 | 318 | yes |
+| fargate | 1e+04 | ASAP (no roll-ups) | 4.22 | 2.68e+03 | 66.5 | 342 | yes |
+| fargate | 1e+04 | PerQuery-CostAware | 13 | 3.26e+03 | 190 | 1.19e+03 | yes |
+| fargate | 1e+04 | AutoSketch-Adapted | 2.81e+03 | 1.01e+03 | 5.96e+04 | 9e+04 | yes |
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | SLA (ms) | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|---|
+| cpu | 1e+03 | 832 | 224 | 560 | 94.3 | 99.6 | 5.3% |
+| cpu | 3e+03 | 832 | 208 | 544 | 61.1 | 66.4 | 8.0% |
+| cpu | 1e+04 | 832 | 208 | 544 | 61.1 | 66.4 | 8.0% |
+| fargate | 1e+03 | 832 | 224 | 560 | 5.13 | 5.46 | 5.9% |
+| fargate | 3e+03 | 832 | 208 | 544 | 3.89 | 4.22 | 7.7% |
+| fargate | 1e+04 | 832 | 208 | 544 | 3.89 | 4.22 | 7.7% |
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/summary_synthetic.md b/rqe-optimizer/results/autosketch-vs-asap-hydra/summary_synthetic.md
new file mode 100644
index 0000000..891f463
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/summary_synthetic.md
@@ -0,0 +1,375 @@
+# Synthetic workload: AutoSketch vs. ASAP, cost by use
+
+Cost by use: `w_cpu · AUC(CPU) + w_mem · AUC(memory)` (CPU only, in vCPU; Fargate prices, in $/hour). Latency: a plan's query latency (its longest chain, compaction then query, CPU elastic), and the median over its RQEs. AutoSketch's planning time is its search plus its measured benchmark.
+
+## mixed + multi-grouping
+
+112 RQEs on 11 streams; dropped: 0; sanity violations: 0. AutoSketch: 332 probes, 19 distinct (metric, config); measured benchmark 481 s at N = 1e+08 (paper rate 1.14e+03 s). AutoSketch latency 1.01e+03 ms; tightest feasible bound 490 ms.
+
+| weights | method | cost (unbounded) | CPU (vCPU) | GiB | latency (ms) | median latency (ms) | planning (s) | cost at AutoSketch's latency |
+|---|---|---|---|---|---|---|---|---|
+| cpu | ASAP | 3.76 | 3.76 | 30 | 1.34e+04 | 51.1 | 1.12 | 5.9 |
+| cpu | ASAP (no roll-ups) | 4.09 | 4.09 | 31.5 | 1.34e+04 | 39 | 1.09 | 6.23 |
+| cpu | PerQuery-CostAware | 11.6 | 11.6 | 80.7 | 3.33e+03 | 39 | 0.875 | 14.5 |
+| cpu | AutoSketch-Adapted | 3.73e+03 | 3.73e+03 | 5.63e+03 | 1.01e+03 | 4.9 | 481 | 3.73e+03 |
+| fargate | ASAP | 0.243 | 3.82 | 19.9 | 2.68e+03 | 51.1 | 1.23 | 0.321 |
+| fargate | ASAP (no roll-ups) | 0.264 | 4.16 | 21.4 | 2.68e+03 | 39 | 1.17 | 0.341 |
+| fargate | PerQuery-CostAware | 0.812 | 11.9 | 74.6 | 3.26e+03 | 39 | 0.886 | 0.923 |
+| fargate | AutoSketch-Adapted | 176 | 3.73e+03 | 5.63e+03 | 1.01e+03 | 4.9 | 481 | 176 |
+
+Frontier points (latency ms, cost), by weights:
+
+- cpu, ASAP: (490, 8.99), (649, 7.43), (813, 6.66), (980, 5.9), (1.08e+03, 5.83), (1.48e+03, 5.24), (2.68e+03, 3.82), (1.34e+04, 3.76)
+- cpu, ASAP (no roll-ups): (490, 9.49), (649, 7.79), (813, 7.02), (980, 6.23), (1.08e+03, 6.16), (1.48e+03, 5.57), (2.68e+03, 4.15), (1.34e+04, 4.09)
+- cpu, PerQuery-CostAware: (490, 20), (575, 17.8), (673, 16.5), (813, 15.6), (980, 14.5), (1.14e+03, 13.9), (1.34e+03, 13.4), (1.63e+03, 12.8), (1.96e+03, 12.7), (2.29e+03, 12.3), (2.68e+03, 11.9), (3.33e+03, 11.6)
+- fargate, ASAP: (490, 0.443), (557, 0.384), (649, 0.381), (765, 0.352), (896, 0.321), (1.08e+03, 0.317), (1.3e+03, 0.314), (1.48e+03, 0.301), (2.29e+03, 0.272), (2.68e+03, 0.243)
+- fargate, ASAP (no roll-ups): (490, 0.471), (557, 0.406), (649, 0.403), (765, 0.374), (896, 0.343), (959, 0.341), (1.08e+03, 0.337), (1.3e+03, 0.334), (1.48e+03, 0.321), (2.29e+03, 0.293), (2.68e+03, 0.264)
+- fargate, PerQuery-CostAware: (490, 1.14), (575, 1.04), (673, 0.994), (813, 0.956), (959, 0.923), (1.14e+03, 0.893), (1.34e+03, 0.87), (1.63e+03, 0.852), (2.29e+03, 0.831), (2.68e+03, 0.817), (3.26e+03, 0.812)
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|
+| cpu | 52 | 13 | 34 | 3.76 | 4.09 | 8.1% |
+| fargate | 52 | 13 | 34 | 0.243 | 0.264 | 7.7% |
+
+## mixed + multi-grouping, m = 8
+
+896 RQEs on 88 streams; dropped: 0; sanity violations: 0. AutoSketch: 2656 probes, 152 distinct (metric, config); measured benchmark 3.85e+03 s at N = 1e+08 (paper rate 9.12e+03 s). AutoSketch latency 1.01e+03 ms; tightest feasible bound 490 ms.
+
+| weights | method | cost (unbounded) | CPU (vCPU) | GiB | latency (ms) | median latency (ms) | planning (s) | cost at AutoSketch's latency |
+|---|---|---|---|---|---|---|---|---|
+| cpu | ASAP | 30.1 | 30.1 | 240 | 1.34e+04 | 51.1 | 10.4 | 47.2 |
+| cpu | ASAP (no roll-ups) | 32.7 | 32.7 | 252 | 1.34e+04 | 39 | 9.73 | 49.8 |
+| cpu | PerQuery-CostAware | 92.7 | 92.7 | 646 | 3.33e+03 | 39 | 7.84 | 116 |
+| cpu | AutoSketch-Adapted | 2.98e+04 | 2.98e+04 | 4.5e+04 | 1.01e+03 | 4.9 | 3.85e+03 | 2.98e+04 |
+| fargate | ASAP | 1.95 | 30.6 | 159 | 2.68e+03 | 51.1 | 13.2 | 2.57 |
+| fargate | ASAP (no roll-ups) | 2.11 | 33.3 | 171 | 2.68e+03 | 39 | 10.7 | 2.73 |
+| fargate | PerQuery-CostAware | 6.49 | 94.8 | 596 | 3.26e+03 | 39 | 7.93 | 7.39 |
+| fargate | AutoSketch-Adapted | 1.41e+03 | 2.98e+04 | 4.5e+04 | 1.01e+03 | 4.9 | 3.85e+03 | 1.41e+03 |
+
+Frontier points (latency ms, cost), by weights:
+
+- cpu, ASAP: (490, 71.9), (649, 59.4), (813, 53.3), (980, 47.2), (1.08e+03, 46.7), (1.48e+03, 41.9), (2.68e+03, 30.6), (1.34e+04, 30.1)
+- cpu, ASAP (no roll-ups): (490, 75.9), (649, 62.3), (813, 56.2), (980, 49.8), (1.08e+03, 49.3), (1.48e+03, 44.5), (2.68e+03, 33.2), (1.34e+04, 32.7)
+- cpu, PerQuery-CostAware: (490, 160), (575, 143), (673, 132), (813, 125), (980, 116), (1.14e+03, 111), (1.34e+03, 107), (1.63e+03, 102), (1.96e+03, 102), (2.29e+03, 98.3), (2.68e+03, 95.2), (3.33e+03, 92.7)
+- fargate, ASAP: (490, 3.54), (557, 3.07), (649, 3.05), (765, 2.81), (896, 2.57), (1.08e+03, 2.53), (1.3e+03, 2.51), (1.48e+03, 2.41), (2.29e+03, 2.18), (2.68e+03, 1.95)
+- fargate, ASAP (no roll-ups): (490, 3.77), (557, 3.25), (649, 3.22), (765, 2.99), (896, 2.74), (959, 2.73), (1.08e+03, 2.69), (1.3e+03, 2.67), (1.48e+03, 2.57), (2.29e+03, 2.34), (2.68e+03, 2.11)
+- fargate, PerQuery-CostAware: (490, 9.1), (575, 8.36), (673, 7.96), (813, 7.65), (959, 7.39), (1.14e+03, 7.14), (1.34e+03, 6.96), (1.63e+03, 6.81), (2.29e+03, 6.65), (2.68e+03, 6.53), (3.26e+03, 6.49)
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|
+| cpu | 416 | 104 | 272 | 30.1 | 32.7 | 8.1% |
+| fargate | 416 | 104 | 272 | 1.95 | 2.11 | 7.7% |
+
+## mixed + multi-grouping, m = 16
+
+1792 RQEs on 176 streams; dropped: 0; sanity violations: 0. AutoSketch: 5312 probes, 304 distinct (metric, config); measured benchmark 7.7e+03 s at N = 1e+08 (paper rate 1.82e+04 s). AutoSketch latency 1.01e+03 ms; tightest feasible bound 490 ms.
+
+| weights | method | cost (unbounded) | CPU (vCPU) | GiB | latency (ms) | median latency (ms) | planning (s) | cost at AutoSketch's latency |
+|---|---|---|---|---|---|---|---|---|
+| cpu | ASAP | 60.2 | 60.2 | 480 | 1.34e+04 | 51.1 | 22.5 | 94.3 |
+| cpu | ASAP (no roll-ups) | 65.4 | 65.4 | 504 | 1.34e+04 | 39 | 21.1 | 99.6 |
+| cpu | PerQuery-CostAware | 185 | 185 | 1.29e+03 | 3.33e+03 | 39 | 16.7 | 232 |
+| cpu | AutoSketch-Adapted | 5.96e+04 | 5.96e+04 | 9e+04 | 1.01e+03 | 4.9 | 7.7e+03 | 5.96e+04 |
+| fargate | ASAP | 3.89 | 61.2 | 318 | 2.68e+03 | 51.1 | 31.3 | 5.13 |
+| fargate | ASAP (no roll-ups) | 4.22 | 66.5 | 342 | 2.68e+03 | 39 | 26.9 | 5.46 |
+| fargate | PerQuery-CostAware | 13 | 190 | 1.19e+03 | 3.26e+03 | 39 | 17.2 | 14.8 |
+| fargate | AutoSketch-Adapted | 2.81e+03 | 5.96e+04 | 9e+04 | 1.01e+03 | 4.9 | 7.7e+03 | 2.81e+03 |
+
+Frontier points (latency ms, cost), by weights:
+
+- cpu, ASAP: (490, 144), (649, 119), (813, 107), (980, 94.3), (1.08e+03, 93.3), (1.48e+03, 83.8), (2.68e+03, 61.1), (1.34e+04, 60.2)
+- cpu, ASAP (no roll-ups): (490, 152), (649, 125), (813, 112), (980, 99.6), (1.08e+03, 98.6), (1.48e+03, 89.1), (2.68e+03, 66.4), (1.34e+04, 65.4)
+- cpu, PerQuery-CostAware: (490, 320), (575, 285), (673, 265), (813, 250), (980, 232), (1.14e+03, 223), (1.34e+03, 214), (1.63e+03, 205), (1.96e+03, 204), (2.29e+03, 197), (2.68e+03, 190), (3.33e+03, 185)
+- fargate, ASAP: (490, 7.09), (557, 6.14), (649, 6.1), (765, 5.63), (896, 5.13), (1.08e+03, 5.07), (1.3e+03, 5.02), (1.48e+03, 4.81), (2.29e+03, 4.36), (2.68e+03, 3.89)
+- fargate, ASAP (no roll-ups): (490, 7.54), (557, 6.5), (649, 6.45), (765, 5.98), (896, 5.48), (959, 5.46), (1.08e+03, 5.39), (1.3e+03, 5.34), (1.48e+03, 5.14), (2.29e+03, 4.68), (2.68e+03, 4.22)
+- fargate, PerQuery-CostAware: (490, 18.2), (575, 16.7), (673, 15.9), (813, 15.3), (959, 14.8), (1.14e+03, 14.3), (1.34e+03, 13.9), (1.63e+03, 13.6), (2.29e+03, 13.3), (2.68e+03, 13.1), (3.26e+03, 13)
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|
+| cpu | 832 | 208 | 544 | 60.2 | 65.4 | 8.1% |
+| fargate | 832 | 208 | 544 | 3.89 | 4.22 | 7.7% |
+
+## mixed + multi-grouping, r = 8
+
+216 RQEs on 11 streams; dropped: 0; sanity violations: 0. AutoSketch: 628 probes, 19 distinct (metric, config); measured benchmark 481 s at N = 1e+08 (paper rate 1.14e+03 s). AutoSketch latency 1.01e+03 ms; tightest feasible bound 490 ms.
+
+| weights | method | cost (unbounded) | CPU (vCPU) | GiB | latency (ms) | median latency (ms) | planning (s) | cost at AutoSketch's latency |
+|---|---|---|---|---|---|---|---|---|
+| cpu | ASAP | 3.9 | 3.9 | 19.9 | 2.68e+03 | 51.1 | 2.68 | 5.95 |
+| cpu | ASAP (no roll-ups) | 4.23 | 4.23 | 21.5 | 2.68e+03 | 39 | 2.57 | 6.28 |
+| cpu | PerQuery-CostAware | 20.5 | 20.5 | 112 | 3.33e+03 | 30.6 | 1.73 | 23.7 |
+| cpu | AutoSketch-Adapted | 4.47e+03 | 4.47e+03 | 5.86e+03 | 1.01e+03 | 4.9 | 481 | 4.47e+03 |
+| fargate | ASAP | 0.247 | 3.91 | 19.9 | 2.68e+03 | 51.1 | 3.3 | 0.323 |
+| fargate | ASAP (no roll-ups) | 0.267 | 4.24 | 21.4 | 2.68e+03 | 39 | 3.1 | 0.343 |
+| fargate | PerQuery-CostAware | 1.24 | 20.9 | 88.8 | 3.26e+03 | 30.6 | 1.74 | 1.36 |
+| fargate | AutoSketch-Adapted | 207 | 4.47e+03 | 5.86e+03 | 1.01e+03 | 4.9 | 481 | 207 |
+
+Frontier points (latency ms, cost), by weights:
+
+- cpu, ASAP: (490, 9.03), (557, 7.54), (649, 7.47), (765, 6.74), (896, 5.96), (980, 5.95), (1.08e+03, 5.89), (1.3e+03, 5.83), (1.48e+03, 5.31), (2.29e+03, 4.61), (2.68e+03, 3.9)
+- cpu, ASAP (no roll-ups): (490, 9.53), (557, 7.91), (649, 7.84), (765, 7.1), (896, 6.32), (980, 6.28), (1.08e+03, 6.22), (1.3e+03, 6.16), (1.48e+03, 5.64), (2.29e+03, 4.94), (2.68e+03, 4.23)
+- cpu, PerQuery-CostAware: (490, 30.1), (575, 27.1), (673, 25.7), (813, 24.8), (980, 23.7), (1.14e+03, 23), (1.34e+03, 22.3), (1.63e+03, 21.8), (1.96e+03, 21.7), (2.29e+03, 21.2), (2.68e+03, 20.9), (3.33e+03, 20.5)
+- fargate, ASAP: (490, 0.444), (557, 0.386), (649, 0.383), (765, 0.354), (896, 0.323), (1.08e+03, 0.319), (1.3e+03, 0.316), (1.48e+03, 0.304), (2.29e+03, 0.276), (2.68e+03, 0.247)
+- fargate, ASAP (no roll-ups): (490, 0.472), (557, 0.408), (649, 0.405), (765, 0.376), (896, 0.345), (959, 0.343), (1.08e+03, 0.339), (1.3e+03, 0.336), (1.48e+03, 0.324), (2.29e+03, 0.296), (2.68e+03, 0.267)
+- fargate, PerQuery-CostAware: (490, 1.61), (575, 1.49), (673, 1.43), (813, 1.39), (959, 1.36), (1.14e+03, 1.33), (1.34e+03, 1.3), (1.63e+03, 1.28), (2.29e+03, 1.26), (2.68e+03, 1.25), (3.26e+03, 1.24)
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|
+| cpu | 104 | 13 | 34 | 3.9 | 4.23 | 7.8% |
+| fargate | 104 | 13 | 34 | 0.247 | 0.267 | 7.6% |
+
+## mixed
+
+50 RQEs on 8 streams; dropped: 0; sanity violations: 0. AutoSketch: 166 probes, 10 distinct (metric, config); measured benchmark 212 s at N = 1e+08 (paper rate 600 s). AutoSketch latency 1.01e+03 ms; tightest feasible bound 87.7 ms.
+
+| weights | method | cost (unbounded) | CPU (vCPU) | GiB | latency (ms) | median latency (ms) | planning (s) | cost at AutoSketch's latency |
+|---|---|---|---|---|---|---|---|---|
+| cpu | ASAP | 3.54 | 3.54 | 28.9 | 1.34e+04 | 97.4 | 0.722 | 5.67 |
+| cpu | ASAP (no roll-ups) | 3.54 | 3.54 | 28.9 | 1.34e+04 | 97.4 | 0.721 | 5.67 |
+| cpu | PerQuery-CostAware | 10.5 | 10.5 | 77 | 3.33e+03 | 97.4 | 0.638 | 13.5 |
+| cpu | AutoSketch-Adapted | 3.72e+03 | 3.72e+03 | 5.62e+03 | 1.01e+03 | 1.22 | 212 | 3.72e+03 |
+| fargate | ASAP | 0.23 | 3.6 | 18.9 | 2.68e+03 | 51.1 | 0.779 | 0.307 |
+| fargate | ASAP (no roll-ups) | 0.23 | 3.6 | 18.9 | 2.68e+03 | 51.1 | 0.779 | 0.307 |
+| fargate | PerQuery-CostAware | 0.752 | 10.8 | 70.9 | 3.26e+03 | 97.4 | 0.646 | 0.864 |
+| fargate | AutoSketch-Adapted | 176 | 3.72e+03 | 5.62e+03 | 1.01e+03 | 1.22 | 212 | 176 |
+
+Frontier points (latency ms, cost), by weights:
+
+- cpu, ASAP: (87.7, 47.4), (138, 24.1), (206, 16.2), (342, 11.7), (541, 7.28), (813, 6.44), (980, 5.67), (1.3e+03, 5.55), (1.48e+03, 5.02), (2.68e+03, 3.6), (1.34e+04, 3.54)
+- cpu, ASAP (no roll-ups): (87.7, 47.4), (138, 24.1), (206, 16.2), (342, 11.7), (541, 7.28), (813, 6.44), (980, 5.67), (1.3e+03, 5.55), (1.48e+03, 5.02), (2.68e+03, 3.6), (1.34e+04, 3.54)
+- cpu, PerQuery-CostAware: (87.7, 78.3), (118, 51.5), (164, 36.6), (235, 28.4), (324, 23.3), (452, 19.2), (575, 16.7), (829, 14), (980, 13.5), (1.14e+03, 12.9), (1.63e+03, 11.7), (2.29e+03, 11.2), (3.33e+03, 10.5)
+- fargate, ASAP: (87.7, 2.01), (115, 1.25), (163, 0.847), (219, 0.715), (291, 0.586), (386, 0.494), (541, 0.37), (765, 0.338), (896, 0.307), (1.3e+03, 0.3), (1.48e+03, 0.287), (2.68e+03, 0.23)
+- fargate, ASAP (no roll-ups): (87.7, 2.01), (115, 1.25), (163, 0.847), (219, 0.715), (291, 0.586), (386, 0.494), (541, 0.37), (765, 0.338), (896, 0.307), (1.3e+03, 0.3), (1.48e+03, 0.287), (2.68e+03, 0.23)
+- fargate, PerQuery-CostAware: (87.7, 3.52), (118, 2.4), (164, 1.79), (233, 1.49), (323, 1.24), (452, 1.08), (575, 0.981), (829, 0.879), (896, 0.864), (1.14e+03, 0.833), (1.63e+03, 0.792), (2.29e+03, 0.771), (3.26e+03, 0.752)
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|
+| cpu | 0 | 8 | 8 | 3.54 | 3.54 | 0.0% |
+| fargate | 0 | 8 | 8 | 0.23 | 0.23 | 0.0% |
+
+## mixed, m = 8
+
+400 RQEs on 64 streams; dropped: 0; sanity violations: 0. AutoSketch: 1328 probes, 80 distinct (metric, config); measured benchmark 1.7e+03 s at N = 1e+08 (paper rate 4.8e+03 s). AutoSketch latency 1.01e+03 ms; tightest feasible bound 87.7 ms.
+
+| weights | method | cost (unbounded) | CPU (vCPU) | GiB | latency (ms) | median latency (ms) | planning (s) | cost at AutoSketch's latency |
+|---|---|---|---|---|---|---|---|---|
+| cpu | ASAP | 28.3 | 28.3 | 231 | 1.34e+04 | 97.4 | 6.34 | 45.4 |
+| cpu | ASAP (no roll-ups) | 28.3 | 28.3 | 231 | 1.34e+04 | 97.4 | 6.35 | 45.4 |
+| cpu | PerQuery-CostAware | 84.1 | 84.1 | 616 | 3.33e+03 | 97.4 | 5.44 | 108 |
+| cpu | AutoSketch-Adapted | 2.97e+04 | 2.97e+04 | 4.5e+04 | 1.01e+03 | 1.22 | 1.7e+03 | 2.97e+04 |
+| fargate | ASAP | 1.84 | 28.8 | 151 | 2.68e+03 | 51.1 | 7.45 | 2.46 |
+| fargate | ASAP (no roll-ups) | 1.84 | 28.8 | 151 | 2.68e+03 | 51.1 | 7.46 | 2.46 |
+| fargate | PerQuery-CostAware | 6.02 | 86.2 | 568 | 3.26e+03 | 97.4 | 5.52 | 6.91 |
+| fargate | AutoSketch-Adapted | 1.4e+03 | 2.97e+04 | 4.5e+04 | 1.01e+03 | 1.22 | 1.7e+03 | 1.4e+03 |
+
+Frontier points (latency ms, cost), by weights:
+
+- cpu, ASAP: (87.7, 379), (138, 193), (206, 129), (342, 93.8), (541, 58.2), (813, 51.5), (980, 45.4), (1.3e+03, 44.4), (1.48e+03, 40.1), (2.68e+03, 28.8), (1.34e+04, 28.3)
+- cpu, ASAP (no roll-ups): (87.7, 379), (138, 193), (206, 129), (342, 93.8), (541, 58.2), (813, 51.5), (980, 45.4), (1.3e+03, 44.4), (1.48e+03, 40.1), (2.68e+03, 28.8), (1.34e+04, 28.3)
+- cpu, PerQuery-CostAware: (87.7, 626), (118, 412), (164, 293), (235, 227), (324, 186), (452, 154), (575, 133), (829, 112), (980, 108), (1.14e+03, 103), (1.63e+03, 93.8), (2.29e+03, 89.7), (3.33e+03, 84.1)
+- fargate, ASAP: (87.7, 16.1), (115, 10), (163, 6.78), (219, 5.72), (291, 4.69), (386, 3.95), (541, 2.96), (765, 2.71), (896, 2.46), (1.3e+03, 2.4), (1.48e+03, 2.3), (2.68e+03, 1.84)
+- fargate, ASAP (no roll-ups): (87.7, 16.1), (115, 10), (163, 6.78), (219, 5.72), (291, 4.69), (386, 3.95), (541, 2.96), (765, 2.71), (896, 2.46), (1.3e+03, 2.4), (1.48e+03, 2.3), (2.68e+03, 1.84)
+- fargate, PerQuery-CostAware: (87.7, 28.1), (118, 19.2), (164, 14.3), (233, 11.9), (323, 9.95), (452, 8.66), (575, 7.85), (829, 7.03), (896, 6.91), (1.14e+03, 6.66), (1.63e+03, 6.34), (2.29e+03, 6.17), (3.26e+03, 6.02)
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|
+| cpu | 0 | 64 | 64 | 28.3 | 28.3 | 0.0% |
+| fargate | 0 | 64 | 64 | 1.84 | 1.84 | 0.0% |
+
+## mixed, m = 16
+
+800 RQEs on 128 streams; dropped: 0; sanity violations: 0. AutoSketch: 2656 probes, 160 distinct (metric, config); measured benchmark 3.39e+03 s at N = 1e+08 (paper rate 9.6e+03 s). AutoSketch latency 1.01e+03 ms; tightest feasible bound 87.7 ms.
+
+| weights | method | cost (unbounded) | CPU (vCPU) | GiB | latency (ms) | median latency (ms) | planning (s) | cost at AutoSketch's latency |
+|---|---|---|---|---|---|---|---|---|
+| cpu | ASAP | 56.6 | 56.6 | 463 | 1.34e+04 | 97.4 | 13.7 | 90.8 |
+| cpu | ASAP (no roll-ups) | 56.6 | 56.6 | 463 | 1.34e+04 | 97.4 | 13.7 | 90.8 |
+| cpu | PerQuery-CostAware | 168 | 168 | 1.23e+03 | 3.33e+03 | 97.4 | 11.4 | 215 |
+| cpu | AutoSketch-Adapted | 5.95e+04 | 5.95e+04 | 9e+04 | 1.01e+03 | 1.22 | 3.39e+03 | 5.95e+04 |
+| fargate | ASAP | 3.68 | 57.6 | 302 | 2.68e+03 | 51.1 | 16.9 | 4.91 |
+| fargate | ASAP (no roll-ups) | 3.68 | 57.6 | 302 | 2.68e+03 | 51.1 | 16.8 | 4.91 |
+| fargate | PerQuery-CostAware | 12 | 172 | 1.14e+03 | 3.26e+03 | 97.4 | 11.7 | 13.8 |
+| fargate | AutoSketch-Adapted | 2.81e+03 | 5.95e+04 | 9e+04 | 1.01e+03 | 1.22 | 3.39e+03 | 2.81e+03 |
+
+Frontier points (latency ms, cost), by weights:
+
+- cpu, ASAP: (87.7, 758), (138, 386), (206, 259), (342, 188), (541, 116), (813, 103), (980, 90.8), (1.3e+03, 88.8), (1.48e+03, 80.3), (2.68e+03, 57.6), (1.34e+04, 56.6)
+- cpu, ASAP (no roll-ups): (87.7, 758), (138, 386), (206, 259), (342, 188), (541, 116), (813, 103), (980, 90.8), (1.3e+03, 88.8), (1.48e+03, 80.3), (2.68e+03, 57.6), (1.34e+04, 56.6)
+- cpu, PerQuery-CostAware: (87.7, 1.25e+03), (118, 824), (164, 586), (235, 454), (324, 372), (452, 308), (575, 267), (829, 224), (980, 215), (1.14e+03, 206), (1.63e+03, 188), (2.29e+03, 179), (3.33e+03, 168)
+- fargate, ASAP: (87.7, 32.2), (115, 20), (163, 13.6), (219, 11.4), (291, 9.38), (386, 7.91), (541, 5.93), (765, 5.41), (896, 4.91), (1.3e+03, 4.8), (1.48e+03, 4.59), (2.68e+03, 3.68)
+- fargate, ASAP (no roll-ups): (87.7, 32.2), (115, 20), (163, 13.6), (219, 11.4), (291, 9.38), (386, 7.91), (541, 5.93), (765, 5.41), (896, 4.91), (1.3e+03, 4.8), (1.48e+03, 4.59), (2.68e+03, 3.68)
+- fargate, PerQuery-CostAware: (87.7, 56.3), (118, 38.5), (164, 28.7), (233, 23.8), (323, 19.9), (452, 17.3), (575, 15.7), (829, 14.1), (896, 13.8), (1.14e+03, 13.3), (1.63e+03, 12.7), (2.29e+03, 12.3), (3.26e+03, 12)
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|
+| cpu | 0 | 128 | 128 | 56.6 | 56.6 | 0.0% |
+| fargate | 0 | 128 | 128 | 3.68 | 3.68 | 0.0% |
+
+## mixed, r = 8
+
+92 RQEs on 8 streams; dropped: 0; sanity violations: 0. AutoSketch: 296 probes, 10 distinct (metric, config); measured benchmark 212 s at N = 1e+08 (paper rate 600 s). AutoSketch latency 1.01e+03 ms; tightest feasible bound 87.7 ms.
+
+| weights | method | cost (unbounded) | CPU (vCPU) | GiB | latency (ms) | median latency (ms) | planning (s) | cost at AutoSketch's latency |
+|---|---|---|---|---|---|---|---|---|
+| cpu | ASAP | 3.66 | 3.66 | 18.9 | 2.68e+03 | 58.6 | 1.64 | 5.71 |
+| cpu | ASAP (no roll-ups) | 3.66 | 3.66 | 18.9 | 2.68e+03 | 58.6 | 1.64 | 5.71 |
+| cpu | PerQuery-CostAware | 18.5 | 18.5 | 107 | 3.33e+03 | 61.5 | 1.23 | 21.6 |
+| cpu | AutoSketch-Adapted | 4.46e+03 | 4.46e+03 | 5.86e+03 | 1.01e+03 | 1.21 | 212 | 4.46e+03 |
+| fargate | ASAP | 0.232 | 3.66 | 18.9 | 2.68e+03 | 58.6 | 2 | 0.308 |
+| fargate | ASAP (no roll-ups) | 0.232 | 3.66 | 18.9 | 2.68e+03 | 58.6 | 2.02 | 0.308 |
+| fargate | PerQuery-CostAware | 1.14 | 18.8 | 84.2 | 3.26e+03 | 51.1 | 1.24 | 1.26 |
+| fargate | AutoSketch-Adapted | 207 | 4.46e+03 | 5.86e+03 | 1.01e+03 | 1.21 | 212 | 207 |
+
+Frontier points (latency ms, cost), by weights:
+
+- cpu, ASAP: (87.7, 47.4), (115, 29), (163, 19.1), (219, 15.9), (291, 12.7), (389, 10.3), (541, 7.3), (765, 6.5), (980, 5.71), (1.3e+03, 5.59), (1.48e+03, 5.06), (2.68e+03, 3.66)
+- cpu, ASAP (no roll-ups): (87.7, 47.4), (115, 29), (163, 19.1), (219, 15.9), (291, 12.7), (389, 10.3), (541, 7.3), (765, 6.5), (980, 5.71), (1.3e+03, 5.59), (1.48e+03, 5.06), (2.68e+03, 3.66)
+- cpu, PerQuery-CostAware: (87.7, 95.7), (118, 66), (164, 48.4), (235, 38.9), (324, 32.9), (452, 28.7), (575, 25), (829, 22.2), (980, 21.6), (1.14e+03, 21), (1.63e+03, 19.7), (2.29e+03, 19.2), (3.33e+03, 18.5)
+- fargate, ASAP: (87.7, 2.01), (115, 1.25), (163, 0.848), (219, 0.715), (291, 0.587), (386, 0.495), (541, 0.371), (765, 0.339), (896, 0.308), (1.3e+03, 0.301), (1.48e+03, 0.289), (2.68e+03, 0.232)
+- fargate, ASAP (no roll-ups): (87.7, 2.01), (115, 1.25), (163, 0.848), (219, 0.715), (291, 0.587), (386, 0.495), (541, 0.371), (765, 0.339), (896, 0.308), (1.3e+03, 0.301), (1.48e+03, 0.289), (2.68e+03, 0.232)
+- fargate, PerQuery-CostAware: (87.7, 4.28), (118, 3.05), (164, 2.33), (233, 1.97), (323, 1.69), (452, 1.52), (575, 1.38), (829, 1.27), (896, 1.26), (1.14e+03, 1.23), (1.63e+03, 1.18), (2.29e+03, 1.16), (3.26e+03, 1.14)
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|
+| cpu | 0 | 8 | 8 | 3.66 | 3.66 | 0.0% |
+| fargate | 0 | 8 | 8 | 0.232 | 0.232 | 0.0% |
+
+## multi-grouping
+
+62 RQEs on 3 streams; dropped: 0; sanity violations: 0. AutoSketch: 166 probes, 9 distinct (metric, config); measured benchmark 269 s at N = 1e+08 (paper rate 540 s). AutoSketch latency 490 ms; tightest feasible bound 490 ms.
+
+| weights | method | cost (unbounded) | CPU (vCPU) | GiB | latency (ms) | median latency (ms) | planning (s) | cost at AutoSketch's latency |
+|---|---|---|---|---|---|---|---|---|
+| cpu | ASAP | 0.221 | 0.221 | 1.06 | 557 | 24.6 | 0.412 | 0.324 |
+| cpu | ASAP (no roll-ups) | 0.551 | 0.551 | 2.6 | 959 | 19.5 | 0.381 | 0.823 |
+| cpu | PerQuery-CostAware | 1.07 | 1.07 | 3.69 | 959 | 19.5 | 0.224 | 1.33 |
+| cpu | AutoSketch-Adapted | 10.2 | 10.2 | 3.55 | 490 | 4.9 | 269 | 10.2 |
+| fargate | ASAP | 0.0137 | 0.224 | 1.03 | 557 | 24.6 | 0.436 | 0.0187 |
+| fargate | ASAP (no roll-ups) | 0.0339 | 0.559 | 2.52 | 959 | 16.2 | 0.386 | 0.0469 |
+| fargate | PerQuery-CostAware | 0.0597 | 1.08 | 3.61 | 959 | 16.2 | 0.225 | 0.0701 |
+| fargate | AutoSketch-Adapted | 0.43 | 10.2 | 3.55 | 490 | 4.9 | 269 | 0.43 |
+
+Frontier points (latency ms, cost), by weights:
+
+- cpu, ASAP: (490, 0.324), (557, 0.221)
+- cpu, ASAP (no roll-ups): (490, 0.823), (557, 0.594), (624, 0.586), (959, 0.551)
+- cpu, PerQuery-CostAware: (490, 1.33), (557, 1.17), (624, 1.09), (959, 1.07)
+- fargate, ASAP: (490, 0.0187), (557, 0.0137)
+- fargate, ASAP (no roll-ups): (490, 0.0469), (557, 0.0356), (959, 0.0339)
+- fargate, PerQuery-CostAware: (490, 0.0701), (557, 0.0639), (624, 0.0605), (959, 0.0597)
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|
+| cpu | 52 | 5 | 26 | 0.221 | 0.551 | 59.9% |
+| fargate | 52 | 5 | 26 | 0.0137 | 0.0339 | 59.7% |
+
+## multi-grouping, m = 8
+
+496 RQEs on 24 streams; dropped: 0; sanity violations: 0. AutoSketch: 1328 probes, 72 distinct (metric, config); measured benchmark 2.15e+03 s at N = 1e+08 (paper rate 4.32e+03 s). AutoSketch latency 490 ms; tightest feasible bound 490 ms.
+
+| weights | method | cost (unbounded) | CPU (vCPU) | GiB | latency (ms) | median latency (ms) | planning (s) | cost at AutoSketch's latency |
+|---|---|---|---|---|---|---|---|---|
+| cpu | ASAP | 1.77 | 1.77 | 8.52 | 557 | 24.6 | 3.4 | 2.59 |
+| cpu | ASAP (no roll-ups) | 4.41 | 4.41 | 20.8 | 959 | 19.5 | 3.1 | 6.58 |
+| cpu | PerQuery-CostAware | 8.55 | 8.55 | 29.5 | 959 | 19.5 | 1.93 | 10.6 |
+| cpu | AutoSketch-Adapted | 81.7 | 81.7 | 28.4 | 490 | 4.9 | 2.15e+03 | 81.7 |
+| fargate | ASAP | 0.109 | 1.79 | 8.22 | 557 | 24.6 | 3.63 | 0.15 |
+| fargate | ASAP (no roll-ups) | 0.271 | 4.47 | 20.2 | 959 | 16.2 | 3.21 | 0.375 |
+| fargate | PerQuery-CostAware | 0.477 | 8.61 | 28.9 | 959 | 16.2 | 1.93 | 0.56 |
+| fargate | AutoSketch-Adapted | 3.44 | 81.7 | 28.4 | 490 | 4.9 | 2.15e+03 | 3.44 |
+
+Frontier points (latency ms, cost), by weights:
+
+- cpu, ASAP: (490, 2.59), (557, 1.77)
+- cpu, ASAP (no roll-ups): (490, 6.58), (557, 4.76), (624, 4.69), (959, 4.41)
+- cpu, PerQuery-CostAware: (490, 10.6), (557, 9.39), (624, 8.71), (959, 8.55)
+- fargate, ASAP: (490, 0.15), (557, 0.109)
+- fargate, ASAP (no roll-ups): (490, 0.375), (557, 0.285), (959, 0.271)
+- fargate, PerQuery-CostAware: (490, 0.56), (557, 0.511), (624, 0.484), (959, 0.477)
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|
+| cpu | 416 | 40 | 208 | 1.77 | 4.41 | 59.9% |
+| fargate | 416 | 40 | 208 | 0.109 | 0.271 | 59.7% |
+
+## multi-grouping, m = 16
+
+992 RQEs on 48 streams; dropped: 0; sanity violations: 0. AutoSketch: 2656 probes, 144 distinct (metric, config); measured benchmark 4.31e+03 s at N = 1e+08 (paper rate 8.64e+03 s). AutoSketch latency 490 ms; tightest feasible bound 490 ms.
+
+| weights | method | cost (unbounded) | CPU (vCPU) | GiB | latency (ms) | median latency (ms) | planning (s) | cost at AutoSketch's latency |
+|---|---|---|---|---|---|---|---|---|
+| cpu | ASAP | 3.53 | 3.53 | 17 | 557 | 24.6 | 7.01 | 5.18 |
+| cpu | ASAP (no roll-ups) | 8.81 | 8.81 | 41.5 | 959 | 19.5 | 6.3 | 13.2 |
+| cpu | PerQuery-CostAware | 17.1 | 17.1 | 59 | 959 | 19.5 | 4.09 | 21.2 |
+| cpu | AutoSketch-Adapted | 163 | 163 | 56.8 | 490 | 4.9 | 4.31e+03 | 163 |
+| fargate | ASAP | 0.218 | 3.59 | 16.4 | 557 | 24.6 | 9.83 | 0.3 |
+| fargate | ASAP (no roll-ups) | 0.542 | 8.94 | 40.4 | 959 | 16.2 | 6.48 | 0.75 |
+| fargate | PerQuery-CostAware | 0.955 | 17.2 | 57.8 | 959 | 16.2 | 4.07 | 1.12 |
+| fargate | AutoSketch-Adapted | 6.87 | 163 | 56.8 | 490 | 4.9 | 4.31e+03 | 6.87 |
+
+Frontier points (latency ms, cost), by weights:
+
+- cpu, ASAP: (490, 5.18), (557, 3.53)
+- cpu, ASAP (no roll-ups): (490, 13.2), (557, 9.51), (624, 9.37), (959, 8.81)
+- cpu, PerQuery-CostAware: (490, 21.2), (557, 18.8), (624, 17.4), (959, 17.1)
+- fargate, ASAP: (490, 0.3), (557, 0.218)
+- fargate, ASAP (no roll-ups): (490, 0.75), (557, 0.57), (959, 0.542)
+- fargate, PerQuery-CostAware: (490, 1.12), (557, 1.02), (624, 0.967), (959, 0.955)
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|
+| cpu | 832 | 80 | 416 | 3.53 | 8.81 | 59.9% |
+| fargate | 832 | 80 | 416 | 0.218 | 0.542 | 59.7% |
+
+## multi-grouping, r = 8
+
+124 RQEs on 3 streams; dropped: 0; sanity violations: 0. AutoSketch: 332 probes, 9 distinct (metric, config); measured benchmark 269 s at N = 1e+08 (paper rate 540 s). AutoSketch latency 490 ms; tightest feasible bound 490 ms.
+
+| weights | method | cost (unbounded) | CPU (vCPU) | GiB | latency (ms) | median latency (ms) | planning (s) | cost at AutoSketch's latency |
+|---|---|---|---|---|---|---|---|---|
+| cpu | ASAP | 0.242 | 0.242 | 1.06 | 557 | 24.6 | 0.917 | 0.344 |
+| cpu | ASAP (no roll-ups) | 0.573 | 0.573 | 2.6 | 959 | 19.5 | 0.851 | 0.841 |
+| cpu | PerQuery-CostAware | 2.04 | 2.04 | 4.69 | 959 | 19.5 | 0.453 | 2.33 |
+| cpu | AutoSketch-Adapted | 12.3 | 12.3 | 4.52 | 490 | 4.9 | 269 | 12.3 |
+| fargate | ASAP | 0.0145 | 0.245 | 1.03 | 557 | 24.6 | 1.02 | 0.0196 |
+| fargate | ASAP (no roll-ups) | 0.0347 | 0.581 | 2.52 | 959 | 16.2 | 0.875 | 0.0476 |
+| fargate | PerQuery-CostAware | 0.104 | 2.05 | 4.62 | 959 | 16.2 | 0.456 | 0.115 |
+| fargate | AutoSketch-Adapted | 0.517 | 12.3 | 4.52 | 490 | 4.9 | 269 | 0.517 |
+
+Frontier points (latency ms, cost), by weights:
+
+- cpu, ASAP: (490, 0.344), (557, 0.242)
+- cpu, ASAP (no roll-ups): (490, 0.841), (557, 0.613), (624, 0.606), (959, 0.573)
+- cpu, PerQuery-CostAware: (490, 2.33), (557, 2.15), (624, 2.06), (959, 2.04)
+- fargate, ASAP: (490, 0.0196), (557, 0.0145)
+- fargate, ASAP (no roll-ups): (490, 0.0476), (557, 0.0364), (959, 0.0347)
+- fargate, PerQuery-CostAware: (490, 0.115), (557, 0.108), (624, 0.104), (959, 0.104)
+
+Roll-up ablation (ASAP vs. ASAP without roll-ups):
+
+| weights | RQEs rolled up | deployments with | deployments without | cost with | cost without | saving |
+|---|---|---|---|---|---|---|
+| cpu | 104 | 5 | 26 | 0.242 | 0.573 | 57.8% |
+| fargate | 104 | 5 | 26 | 0.0145 | 0.0347 | 58.2% |
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesall-shared1-metrics16-tp95.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesall-shared1-metrics16-tp95.json
new file mode 100644
index 0000000..583392c
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesall-shared1-metrics16-tp95.json
@@ -0,0 +1,6253 @@
+{
+ "autosketch": {
+  "benchmark_secs_paper_rate": 18240.0,
+  "distinct_probes": 304,
+  "probed_configs": [
+   {
+    "distinct_keys": 10000.0,
+    "metric": "data_0",
+    "params": {
+     "cols": 1024,
+     "heap": 32,
+     "rows": 3
+    },
+    "sketch": "cms-heap-topk-fastpath-vector2d",
+    "tail_index": null,
+    "zipf_s": 1.1
+   },
+   {
+    "distinct_keys": 10000.0,
+    "metric": "data_0",
+    "params": {
+     "cols": 256,
+     "heap": 32,
+     "rows": 3
+    },
+    "sketch": "cms-heap-topk-fastpath-vector2d",
+    "tail_index": null,
+    "zipf_s": 1.1
+   },
+   {
+    "distinct_keys": 10000.0,
+    "metric": "data_0",
+    "params": {
+     "cols": 4096,
+     "heap": 32,
+     "rows": 5
+    },
+    "sketch": "cms-heap-topk-fastpath-vector2d",
+    "tail_index": null,
+    "zipf_s": 1.1
+   },
+   {
+    "distinct_keys": 0.0,
+    "metric": "data_0",
+    "params": {
+     "alpha": 0.01
+    },
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+    "tail_index": 2.0,
+    "zipf_s": null
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+    "params": {
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+   {
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+   {
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+    "sketch": "dd",
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+   },
+   {
+    "distinct_keys": 1000000.0,
+    "metric": "data_10/http",
+    "params": {
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+    },
+    "sketch": "hll",
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+   {
+    "distinct_keys": 1000000.0,
+    "metric": "data_10/http",
+    "params": {
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+    "sketch": "hll",
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+   {
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+   {
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+   },
+   {
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+    "metric": "data_11",
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+     "rows": 3
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+    "sketch": "cms-heap-topk-fastpath-vector2d",
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+   {
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+   {
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+ "dropped_unservable": {
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+  "autosketch": []
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+  "one metric per stream: groups from the table, samples/s = max over the stream's RQEs, scraped once a second",
+  "streams with more keys than samples/s, left out: {}",
+  "costs: optimizer_cost/rqe_atomic_costs.json under the saturation dir, one row per config",
+  "data shape per stream: the families' grid_param/grid_K, the harder side over its RQEs",
+  "query_cpu_secs = q_r queries per instance per evaluation"
+ ],
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+ "weights": [
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+ ],
+ "workload": "synthetic/templates=all/shared=1/metrics=16/tp95"
+}
\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesall-shared1-metrics8-tp95.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesall-shared1-metrics8-tp95.json
new file mode 100644
index 0000000..299868e
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesall-shared1-metrics8-tp95.json
@@ -0,0 +1,4717 @@
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+   "weights": "fargate"
+  }
+ ],
+ "streams": 88,
+ "weights": [
+  {
+   "name": "cpu",
+   "w_cpu": 1.0,
+   "w_mem": 0.0
+  },
+  {
+   "name": "fargate",
+   "w_cpu": 0.0405,
+   "w_mem": 0.00445
+  }
+ ],
+ "workload": "synthetic/templates=all/shared=1/metrics=8/tp95"
+}
\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesall-shared1-tp95.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesall-shared1-tp95.json
new file mode 100644
index 0000000..8706dc0
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesall-shared1-tp95.json
@@ -0,0 +1,3373 @@
+{
+ "autosketch": {
+  "benchmark_secs_paper_rate": 1140.0,
+  "distinct_probes": 19,
+  "probed_configs": [
+   {
+    "distinct_keys": 10000.0,
+    "metric": "data",
+    "params": {
+     "cols": 1024,
+     "heap": 32,
+     "rows": 3
+    },
+    "sketch": "cms-heap-topk-fastpath-vector2d",
+    "tail_index": null,
+    "zipf_s": 1.1
+   },
+   {
+    "distinct_keys": 10000.0,
+    "metric": "data",
+    "params": {
+     "cols": 256,
+     "heap": 32,
+     "rows": 3
+    },
+    "sketch": "cms-heap-topk-fastpath-vector2d",
+    "tail_index": null,
+    "zipf_s": 1.1
+   },
+   {
+    "distinct_keys": 10000.0,
+    "metric": "data",
+    "params": {
+     "cols": 4096,
+     "heap": 32,
+     "rows": 5
+    },
+    "sketch": "cms-heap-topk-fastpath-vector2d",
+    "tail_index": null,
+    "zipf_s": 1.1
+   },
+   {
+    "distinct_keys": 0.0,
+    "metric": "data",
+    "params": {
+     "alpha": 0.01
+    },
+    "sketch": "dd",
+    "tail_index": 2.0,
+    "zipf_s": null
+   },
+   {
+    "distinct_keys": 0.0,
+    "metric": "data",
+    "params": {
+     "alpha": 0.02
+    },
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+    "tail_index": 2.0,
+    "zipf_s": null
+   },
+   {
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+    "metric": "data",
+    "params": {
+     "alpha": 0.05
+    },
+    "sketch": "dd",
+    "tail_index": 2.0,
+    "zipf_s": null
+   },
+   {
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+    "metric": "data",
+    "params": {},
+    "sketch": "exact-increase",
+    "tail_index": null,
+    "zipf_s": null
+   },
+   {
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+    "tail_index": null,
+    "zipf_s": null
+   },
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+   },
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+    },
+    "sketch": "kll-percall",
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+   },
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+    },
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+    "zipf_s": 0.0
+   },
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+   },
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+    "metric": "http",
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+    "zipf_s": null
+   },
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+    "metric": "http",
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+    },
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+   },
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+    "zipf_s": 0.8
+   },
+   {
+    "distinct_keys": 1000000.0,
+    "metric": "http",
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+    "metric": "http",
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+    },
+    "sketch": "kll-percall",
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+    "zipf_s": null
+   },
+   {
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+    "metric": "http",
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+     "k": 50
+    },
+    "sketch": "kll-percall",
+    "tail_index": 2.0,
+    "zipf_s": null
+   }
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+ },
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+ "dropped_unservable": {
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+  "autosketch": []
+ },
+ "excluded_high_cardinality": [],
+ "frontier": {
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+  "autosketch_latency_ms": 1014.5630284757121,
+  "perquery_tightest_bound_ms": 490.15722656250006,
+  "points": 12
+ },
+ "notes": [
+  "0 families skipped: they serve another capability",
+  "one metric per stream: groups from the table, samples/s = max over the stream's RQEs, scraped once a second",
+  "streams with more keys than samples/s, left out: {}",
+  "costs: optimizer_cost/rqe_atomic_costs.json under the saturation dir, one row per config",
+  "data shape per stream: the families' grid_param/grid_K, the harder side over its RQEs",
+  "query_cpu_secs = q_r queries per instance per evaluation"
+ ],
+ "results": [
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+ "workload": "synthetic/templates=all/shared=1/tp95"
+}
\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesall-shared8-tp95.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesall-shared8-tp95.json
new file mode 100644
index 0000000..48f6814
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesall-shared8-tp95.json
@@ -0,0 +1,3373 @@
+{
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+ "weights": [
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+ "workload": "synthetic/templates=all/shared=8/tp95"
+}
\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesclassic-shared1-metrics16-tp95.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesclassic-shared1-metrics16-tp95.json
new file mode 100644
index 0000000..c449f48
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesclassic-shared1-metrics16-tp95.json
@@ -0,0 +1,4915 @@
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+ ],
+ "workload": "synthetic/templates=classic/shared=1/metrics=16/tp95"
+}
\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesclassic-shared1-metrics8-tp95.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesclassic-shared1-metrics8-tp95.json
new file mode 100644
index 0000000..adada23
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesclassic-shared1-metrics8-tp95.json
@@ -0,0 +1,4099 @@
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+ ],
+ "streams": 64,
+ "weights": [
+  {
+   "name": "cpu",
+   "w_cpu": 1.0,
+   "w_mem": 0.0
+  },
+  {
+   "name": "fargate",
+   "w_cpu": 0.0405,
+   "w_mem": 0.00445
+  }
+ ],
+ "workload": "synthetic/templates=classic/shared=1/metrics=8/tp95"
+}
\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesclassic-shared1-tp95.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesclassic-shared1-tp95.json
new file mode 100644
index 0000000..4a85027
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesclassic-shared1-tp95.json
@@ -0,0 +1,3385 @@
+{
+ "autosketch": {
+  "benchmark_secs_paper_rate": 600.0,
+  "distinct_probes": 10,
+  "probed_configs": [
+   {
+    "distinct_keys": 10000.0,
+    "metric": "data",
+    "params": {
+     "cols": 1024,
+     "heap": 32,
+     "rows": 3
+    },
+    "sketch": "cms-heap-topk-fastpath-vector2d",
+    "tail_index": null,
+    "zipf_s": 1.1
+   },
+   {
+    "distinct_keys": 10000.0,
+    "metric": "data",
+    "params": {
+     "cols": 256,
+     "heap": 32,
+     "rows": 3
+    },
+    "sketch": "cms-heap-topk-fastpath-vector2d",
+    "tail_index": null,
+    "zipf_s": 1.1
+   },
+   {
+    "distinct_keys": 10000.0,
+    "metric": "data",
+    "params": {
+     "cols": 4096,
+     "heap": 32,
+     "rows": 5
+    },
+    "sketch": "cms-heap-topk-fastpath-vector2d",
+    "tail_index": null,
+    "zipf_s": 1.1
+   },
+   {
+    "distinct_keys": 0.0,
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+    "params": {
+     "alpha": 0.01
+    },
+    "sketch": "dd",
+    "tail_index": 2.0,
+    "zipf_s": null
+   },
+   {
+    "distinct_keys": 0.0,
+    "metric": "data",
+    "params": {
+     "alpha": 0.02
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+    "sketch": "dd",
+    "tail_index": 2.0,
+    "zipf_s": null
+   },
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+   },
+   {
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+    "zipf_s": null
+   },
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+ "dropped_unservable": {
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+  "autosketch": []
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+ "excluded_high_cardinality": [],
+ "frontier": {
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+  "points": 12
+ },
+ "notes": [
+  "0 families skipped: they serve another capability",
+  "one metric per stream: groups from the table, samples/s = max over the stream's RQEs, scraped once a second",
+  "streams with more keys than samples/s, left out: {}",
+  "costs: optimizer_cost/rqe_atomic_costs.json under the saturation dir, one row per config",
+  "data shape per stream: the families' grid_param/grid_K, the harder side over its RQEs",
+  "query_cpu_secs = q_r queries per instance per evaluation"
+ ],
+ "results": [
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+   "weights": "fargate"
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+ ],
+ "streams": 8,
+ "weights": [
+  {
+   "name": "cpu",
+   "w_cpu": 1.0,
+   "w_mem": 0.0
+  },
+  {
+   "name": "fargate",
+   "w_cpu": 0.0405,
+   "w_mem": 0.00445
+  }
+ ],
+ "workload": "synthetic/templates=classic/shared=1/tp95"
+}
\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesclassic-shared8-tp95.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesclassic-shared8-tp95.json
new file mode 100644
index 0000000..f7b4827
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesclassic-shared8-tp95.json
@@ -0,0 +1,3385 @@
+{
+ "autosketch": {
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+  "distinct_probes": 10,
+  "probed_configs": [
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+     "rows": 3
+    },
+    "sketch": "cms-heap-topk-fastpath-vector2d",
+    "tail_index": null,
+    "zipf_s": 1.1
+   },
+   {
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+    "sketch": "cms-heap-topk-fastpath-vector2d",
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+    "zipf_s": 1.1
+   },
+   {
+    "distinct_keys": 10000.0,
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+    "params": {
+     "cols": 4096,
+     "heap": 32,
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+    "sketch": "cms-heap-topk-fastpath-vector2d",
+    "tail_index": null,
+    "zipf_s": 1.1
+   },
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+     "alpha": 0.01
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+   },
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+    "tail_index": 2.0,
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+  "one metric per stream: groups from the table, samples/s = max over the stream's RQEs, scraped once a second",
+  "streams with more keys than samples/s, left out: {}",
+  "costs: optimizer_cost/rqe_atomic_costs.json under the saturation dir, one row per config",
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+   "method": "autosketch",
+   "objective": 206.5151778812691,
+   "planning_secs": 0.002981426,
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+   "rolled_up_rqes": 0,
+   "rqes": 92,
+   "sla_ms": 10000.0,
+   "weights": "fargate"
+  }
+ ],
+ "streams": 8,
+ "weights": [
+  {
+   "name": "cpu",
+   "w_cpu": 1.0,
+   "w_mem": 0.0
+  },
+  {
+   "name": "fargate",
+   "w_cpu": 0.0405,
+   "w_mem": 0.00445
+  }
+ ],
+ "workload": "synthetic/templates=classic/shared=8/tp95"
+}
\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesmultigroup-shared1-metrics16-tp95.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesmultigroup-shared1-metrics16-tp95.json
new file mode 100644
index 0000000..b0a4b65
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesmultigroup-shared1-metrics16-tp95.json
@@ -0,0 +1,4621 @@
+{
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+ "dropped_unservable": {
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+  "autosketch": []
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+  "one metric per stream: groups from the table, samples/s = max over the stream's RQEs, scraped once a second",
+  "streams with more keys than samples/s, left out: {}",
+  "costs: optimizer_cost/rqe_atomic_costs.json under the saturation dir, one row per config",
+  "data shape per stream: the families' grid_param/grid_K, the harder side over its RQEs",
+  "query_cpu_secs = q_r queries per instance per evaluation"
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+}
\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesmultigroup-shared1-metrics8-tp95.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesmultigroup-shared1-metrics8-tp95.json
new file mode 100644
index 0000000..ec76104
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesmultigroup-shared1-metrics8-tp95.json
@@ -0,0 +1,3901 @@
+{
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+ "dropped_unservable": {
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+  "autosketch": []
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+ "excluded_high_cardinality": [],
+ "frontier": {
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+  "one metric per stream: groups from the table, samples/s = max over the stream's RQEs, scraped once a second",
+  "streams with more keys than samples/s, left out: {}",
+  "costs: optimizer_cost/rqe_atomic_costs.json under the saturation dir, one row per config",
+  "data shape per stream: the families' grid_param/grid_K, the harder side over its RQEs",
+  "query_cpu_secs = q_r queries per instance per evaluation"
+ ],
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+    "query": 2.4033454716841063e-05,
+    "storage": 2.5832858085632324
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+   "hydra_rqes": 0,
+   "latency_ms": 490.15722656250006,
+   "median_latency_ms": 4.901572265625,
+   "meets_sla": true,
+   "method": "autosketch",
+   "objective": 3.4368571638288206,
+   "planning_secs": 0.019028717,
+   "probes": 1328,
+   "rolled_up_rqes": 0,
+   "rqes": 496,
+   "sla_ms": 10000.0,
+   "weights": "fargate"
+  }
+ ],
+ "streams": 24,
+ "weights": [
+  {
+   "name": "cpu",
+   "w_cpu": 1.0,
+   "w_mem": 0.0
+  },
+  {
+   "name": "fargate",
+   "w_cpu": 0.0405,
+   "w_mem": 0.00445
+  }
+ ],
+ "workload": "synthetic/templates=multigroup/shared=1/metrics=8/tp95"
+}
\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesmultigroup-shared1-tp95.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesmultigroup-shared1-tp95.json
new file mode 100644
index 0000000..200af28
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesmultigroup-shared1-tp95.json
@@ -0,0 +1,3271 @@
+{
+ "autosketch": {
+  "benchmark_secs_paper_rate": 540.0,
+  "distinct_probes": 9,
+  "probed_configs": [
+   {
+    "distinct_keys": 1000000.0,
+    "metric": "flows",
+    "params": {
+     "lg_k": 12
+    },
+    "sketch": "hll",
+    "tail_index": null,
+    "zipf_s": 0.0
+   },
+   {
+    "distinct_keys": 1000000.0,
+    "metric": "flows",
+    "params": {
+     "lg_k": 14
+    },
+    "sketch": "hll",
+    "tail_index": null,
+    "zipf_s": 0.0
+   },
+   {
+    "distinct_keys": 0.0,
+    "metric": "http",
+    "params": {
+     "alpha": 0.01
+    },
+    "sketch": "dd",
+    "tail_index": 2.0,
+    "zipf_s": null
+   },
+   {
+    "distinct_keys": 0.0,
+    "metric": "http",
+    "params": {
+     "alpha": 0.02
+    },
+    "sketch": "dd",
+    "tail_index": 2.0,
+    "zipf_s": null
+   },
+   {
+    "distinct_keys": 0.0,
+    "metric": "http",
+    "params": {
+     "alpha": 0.05
+    },
+    "sketch": "dd",
+    "tail_index": 2.0,
+    "zipf_s": null
+   },
+   {
+    "distinct_keys": 1000000.0,
+    "metric": "http",
+    "params": {
+     "lg_k": 12
+    },
+    "sketch": "hll",
+    "tail_index": null,
+    "zipf_s": 0.8
+   },
+   {
+    "distinct_keys": 1000000.0,
+    "metric": "http",
+    "params": {
+     "lg_k": 14
+    },
+    "sketch": "hll",
+    "tail_index": null,
+    "zipf_s": 0.8
+   },
+   {
+    "distinct_keys": 0.0,
+    "metric": "http",
+    "params": {
+     "k": 200
+    },
+    "sketch": "kll-percall",
+    "tail_index": 2.0,
+    "zipf_s": null
+   },
+   {
+    "distinct_keys": 0.0,
+    "metric": "http",
+    "params": {
+     "k": 50
+    },
+    "sketch": "kll-percall",
+    "tail_index": 2.0,
+    "zipf_s": null
+   }
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+  "probes": 166,
+  "search_secs": 0.002068572,
+  "benchmark_secs_measured": 269.2817853728775,
+  "benchmark_n": 100000000.0
+ },
+ "cost_model": "w_cpu * AUC(CPU) + w_mem * AUC(memory), billed by use; latency = longest chain, reported",
+ "dropped_unservable": {
+  "asap": [],
+  "autosketch": []
+ },
+ "excluded_high_cardinality": [],
+ "frontier": {
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+  "asap_tightest_bound_ms": 490.15722656250006,
+  "autosketch_latency_ms": 490.15722656250006,
+  "perquery_tightest_bound_ms": 490.15722656250006,
+  "points": 12
+ },
+ "notes": [
+  "0 families skipped: they serve another capability",
+  "one metric per stream: groups from the table, samples/s = max over the stream's RQEs, scraped once a second",
+  "streams with more keys than samples/s, left out: {}",
+  "costs: optimizer_cost/rqe_atomic_costs.json under the saturation dir, one row per config",
+  "data shape per stream: the families' grid_param/grid_K, the harder side over its RQEs",
+  "query_cpu_secs = q_r queries per instance per evaluation"
+ ],
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+   "weights": "fargate"
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+ ],
+ "streams": 3,
+ "weights": [
+  {
+   "name": "cpu",
+   "w_cpu": 1.0,
+   "w_mem": 0.0
+  },
+  {
+   "name": "fargate",
+   "w_cpu": 0.0405,
+   "w_mem": 0.00445
+  }
+ ],
+ "workload": "synthetic/templates=multigroup/shared=1/tp95"
+}
\ No newline at end of file
diff --git a/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesmultigroup-shared8-tp95.json b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesmultigroup-shared8-tp95.json
new file mode 100644
index 0000000..19260cd
--- /dev/null
+++ b/rqe-optimizer/results/autosketch-vs-asap-hydra/synthetic-templatesmultigroup-shared8-tp95.json
@@ -0,0 +1,3271 @@
+{
+ "autosketch": {
+  "benchmark_secs_paper_rate": 540.0,
+  "distinct_probes": 9,
+  "probed_configs": [
+   {
+    "distinct_keys": 1000000.0,
+    "metric": "flows",
+    "params": {
+     "lg_k": 12
+    },
+    "sketch": "hll",
+    "tail_index": null,
+    "zipf_s": 0.0
+   },
+   {
+    "distinct_keys": 1000000.0,
+    "metric": "flows",
+    "params": {
+     "lg_k": 14
+    },
+    "sketch": "hll",
+    "tail_index": null,
+    "zipf_s": 0.0
+   },
+   {
+    "distinct_keys": 0.0,
+    "metric": "http",
+    "params": {
+     "alpha": 0.01
+    },
+    "sketch": "dd",
+    "tail_index": 2.0,
+    "zipf_s": null
+   },
+   {
+    "distinct_keys": 0.0,
+    "metric": "http",
+    "params": {
+     "alpha": 0.02
+    },
+    "sketch": "dd",
+    "tail_index": 2.0,
+    "zipf_s": null
+   },
+   {
+    "distinct_keys": 0.0,
+    "metric": "http",
+    "params": {
+     "alpha": 0.05
+    },
+    "sketch": "dd",
+    "tail_index": 2.0,
+    "zipf_s": null
+   },
+   {
+    "distinct_keys": 1000000.0,
+    "metric": "http",
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+    },
+    "sketch": "hll",
+    "tail_index": null,
+    "zipf_s": 0.8
+   },
+   {
+    "distinct_keys": 1000000.0,
+    "metric": "http",
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+    "zipf_s": 0.8
+   },
+   {
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+     "k": 200
+    },
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+    "zipf_s": null
+   },
+   {
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+    "metric": "http",
+    "params": {
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+ "dropped_unservable": {
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+  "autosketch": []
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+ "excluded_high_cardinality": [],
+ "frontier": {
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+  "autosketch_latency_ms": 490.15722656250006,
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+ "notes": [
+  "0 families skipped: they serve another capability",
+  "one metric per stream: groups from the table, samples/s = max over the stream's RQEs, scraped once a second",
+  "streams with more keys than samples/s, left out: {}",
+  "costs: optimizer_cost/rqe_atomic_costs.json under the saturation dir, one row per config",
+  "data shape per stream: the families' grid_param/grid_K, the harder side over its RQEs",
+  "query_cpu_secs = q_r queries per instance per evaluation"
+ ],
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+  {
+   "active_deployments": 124,
+   "benchmark_secs_paper_rate": 540.0,
+   "cpu": 12.260760061299113,
+   "cpu_parts": {
+    "compaction": 0.0,
+    "ingest": 12.179798399999994,
+    "query": 0.08096166129911817
+   },
+   "gib": 4.520753770003864,
+   "gib_parts": {
+    "compaction": 0.0,
+    "ingest": 3.8749287128448486,
+    "query": 3.6050182075261585e-06,
+    "storage": 0.6458214521408081
+   },
+   "hydra_rqes": 0,
+   "latency_ms": 490.15722656250006,
+   "median_latency_ms": 4.901572265625,
+   "meets_sla": false,
+   "method": "autosketch",
+   "objective": 0.5166781367591313,
+   "planning_secs": 0.00371294,
+   "probes": 332,
+   "rolled_up_rqes": 0,
+   "rqes": 124,
+   "sla_ms": 100.0,
+   "weights": "fargate"
+  },
+  {
+   "infeasible": true,
+   "method": "asap",
+   "rqes": 124,
+   "sla_ms": 300.0,
+   "tightest_bound_ms": 490.15722656250006,
+   "weights": "fargate"
+  },
+  {
+   "infeasible": true,
+   "method": "asap-norollup",
+   "rqes": 124,
+   "sla_ms": 300.0,
+   "tightest_bound_ms": 490.15722656250006,
+   "weights": "fargate"
+  },
+  {
+   "infeasible": true,
+   "method": "perquery",
+   "rqes": 124,
+   "sla_ms": 300.0,
+   "tightest_bound_ms": 490.15722656250006,
+   "weights": "fargate"
+  },
+  {
+   "active_deployments": 124,
+   "benchmark_secs_paper_rate": 540.0,
+   "cpu": 12.260760061299113,
+   "cpu_parts": {
+    "compaction": 0.0,
+    "ingest": 12.179798399999994,
+    "query": 0.08096166129911817
+   },
+   "gib": 4.520753770003864,
+   "gib_parts": {
+    "compaction": 0.0,
+    "ingest": 3.8749287128448486,
+    "query": 3.6050182075261585e-06,
+    "storage": 0.6458214521408081
+   },
+   "hydra_rqes": 0,
+   "latency_ms": 490.15722656250006,
+   "median_latency_ms": 4.901572265625,
+   "meets_sla": false,
+   "method": "autosketch",
+   "objective": 0.5166781367591313,
+   "planning_secs": 0.00371294,
+   "probes": 332,
+   "rolled_up_rqes": 0,
+   "rqes": 124,
+   "sla_ms": 300.0,
+   "weights": "fargate"
+  },
+  {
+   "active_deployments": 5,
+   "cpu": 0.2453387738324515,
+   "cpu_parts": {
+    "compaction": 0.0,
+    "ingest": 0.11865320000000001,
+    "query": 0.1266855738324515
+   },
+   "gib": 1.0274441553580245,
+   "gib_parts": {
+    "compaction": 0.0,
+    "ingest": 0.216713547706604,
+    "query": 0.0014336420523605052,
+    "storage": 0.8092969655990601
+   },
+   "hydra_rqes": 0,
+   "infeasible": false,
+   "latency_ms": 557.0905598958334,
+   "median_latency_ms": 24.64690559895833,
+   "method": "asap",
+   "milp_solve_secs": 0.198607735,
+   "objective": 0.014508346831557495,
+   "rolled_up_rqes": 104,
+   "rqes": 124,
+   "sla_ms": 1000.0,
+   "weights": "fargate"
+  },
+  {
+   "active_deployments": 26,
+   "cpu": 0.5806692567209003,
+   "cpu_parts": {
+    "compaction": 0.0,
+    "ingest": 0.44888759999999994,
+    "query": 0.13178165672090036
+   },
+   "gib": 2.5226540226402685,
+   "gib_parts": {
+    "compaction": 0.0,
+    "ingest": 0.1574791893362999,
+    "query": 0.002986993259470107,
+    "storage": 2.3621878400444984
+   },
+   "hydra_rqes": 0,
+   "infeasible": false,
+   "latency_ms": 958.6905598958333,
+   "median_latency_ms": 16.16864686468647,
+   "method": "asap-norollup",
+   "milp_solve_secs": 0.078061444,
+   "objective": 0.03474291529794566,
+   "rolled_up_rqes": 0,
+   "rqes": 124,
+   "sla_ms": 1000.0,
+   "weights": "fargate"
+  },
+  {
+   "active_deployments": 124,
+   "cpu": 2.049516968372388,
+   "cpu_parts": {
+    "compaction": 0.0,
+    "ingest": 1.9252280000000028,
+    "query": 0.12428896837238552
+   },
+   "gib": 4.615254931939094,
+   "gib_parts": {
+    "compaction": 0.0,
+    "ingest": 0.6649284660816193,
+    "query": 0.0026651852254555722,
+    "storage": 3.947661280632019
+   },
+   "hydra_rqes": 0,
+   "infeasible": false,
+   "latency_ms": 958.6905598958333,
+   "median_latency_ms": 16.16864686468647,
+   "method": "perquery",
+   "milp_solve_secs": 0.086561821,
+   "objective": 0.10354332166621069,
+   "rolled_up_rqes": 0,
+   "rqes": 124,
+   "sla_ms": 1000.0,
+   "weights": "fargate"
+  },
+  {
+   "active_deployments": 124,
+   "benchmark_secs_paper_rate": 540.0,
+   "cpu": 12.260760061299113,
+   "cpu_parts": {
+    "compaction": 0.0,
+    "ingest": 12.179798399999994,
+    "query": 0.08096166129911817
+   },
+   "gib": 4.520753770003864,
+   "gib_parts": {
+    "compaction": 0.0,
+    "ingest": 3.8749287128448486,
+    "query": 3.6050182075261585e-06,
+    "storage": 0.6458214521408081
+   },
+   "hydra_rqes": 0,
+   "latency_ms": 490.15722656250006,
+   "median_latency_ms": 4.901572265625,
+   "meets_sla": true,
+   "method": "autosketch",
+   "objective": 0.5166781367591313,
+   "planning_secs": 0.00371294,
+   "probes": 332,
+   "rolled_up_rqes": 0,
+   "rqes": 124,
+   "sla_ms": 1000.0,
+   "weights": "fargate"
+  },
+  {
+   "active_deployments": 5,
+   "cpu": 0.2453387738324515,
+   "cpu_parts": {
+    "compaction": 0.0,
+    "ingest": 0.11865320000000001,
+    "query": 0.1266855738324515
+   },
+   "gib": 1.0274441553580245,
+   "gib_parts": {
+    "compaction": 0.0,
+    "ingest": 0.216713547706604,
+    "query": 0.0014336420523605052,
+    "storage": 0.8092969655990601
+   },
+   "hydra_rqes": 0,
+   "infeasible": false,
+   "latency_ms": 557.0905598958334,
+   "median_latency_ms": 24.64690559895833,
+   "method": "asap",
+   "milp_solve_secs": 0.197544166,
+   "objective": 0.014508346831557495,
+   "rolled_up_rqes": 104,
+   "rqes": 124,
+   "sla_ms": 3000.0,
+   "weights": "fargate"
+  },
+  {
+   "active_deployments": 26,
+   "cpu": 0.5806692567209003,
+   "cpu_parts": {
+    "compaction": 0.0,
+    "ingest": 0.44888759999999994,
+    "query": 0.13178165672090036
+   },
+   "gib": 2.5226540226402685,
+   "gib_parts": {
+    "compaction": 0.0,
+    "ingest": 0.1574791893362999,
+    "query": 0.002986993259470107,
+    "storage": 2.3621878400444984
+   },
+   "hydra_rqes": 0,
+   "infeasible": false,
+   "latency_ms": 958.6905598958333,
+   "median_latency_ms": 16.16864686468647,
+   "method": "asap-norollup",
+   "milp_solve_secs": 0.071560388,
+   "objective": 0.03474291529794566,
+   "rolled_up_rqes": 0,
+   "rqes": 124,
+   "sla_ms": 3000.0,
+   "weights": "fargate"
+  },
+  {
+   "active_deployments": 124,
+   "cpu": 2.049516968372388,
+   "cpu_parts": {
+    "compaction": 0.0,
+    "ingest": 1.9252280000000028,
+    "query": 0.12428896837238552
+   },
+   "gib": 4.615254931939094,
+   "gib_parts": {
+    "compaction": 0.0,
+    "ingest": 0.6649284660816193,
+    "query": 0.0026651852254555722,
+    "storage": 3.947661280632019
+   },
+   "hydra_rqes": 0,
+   "infeasible": false,
+   "latency_ms": 958.6905598958333,
+   "median_latency_ms": 16.16864686468647,
+   "method": "perquery",
+   "milp_solve_secs": 0.087180406,
+   "objective": 0.10354332166621069,
+   "rolled_up_rqes": 0,
+   "rqes": 124,
+   "sla_ms": 3000.0,
+   "weights": "fargate"
+  },
+  {
+   "active_deployments": 124,
+   "benchmark_secs_paper_rate": 540.0,
+   "cpu": 12.260760061299113,
+   "cpu_parts": {
+    "compaction": 0.0,
+    "ingest": 12.179798399999994,
+    "query": 0.08096166129911817
+   },
+   "gib": 4.520753770003864,
+   "gib_parts": {
+    "compaction": 0.0,
+    "ingest": 3.8749287128448486,
+    "query": 3.6050182075261585e-06,
+    "storage": 0.6458214521408081
+   },
+   "hydra_rqes": 0,
+   "latency_ms": 490.15722656250006,
+   "median_latency_ms": 4.901572265625,
+   "meets_sla": true,
+   "method": "autosketch",
+   "objective": 0.5166781367591313,
+   "planning_secs": 0.00371294,
+   "probes": 332,
+   "rolled_up_rqes": 0,
+   "rqes": 124,
+   "sla_ms": 3000.0,
+   "weights": "fargate"
+  },
+  {
+   "active_deployments": 5,
+   "cpu": 0.2453387738324515,
+   "cpu_parts": {
+    "compaction": 0.0,
+    "ingest": 0.11865320000000001,
+    "query": 0.1266855738324515
+   },
+   "gib": 1.0274441553580245,
+   "gib_parts": {
+    "compaction": 0.0,
+    "ingest": 0.216713547706604,
+    "query": 0.0014336420523605052,
+    "storage": 0.8092969655990601
+   },
+   "hydra_rqes": 0,
+   "infeasible": false,
+   "latency_ms": 557.0905598958334,
+   "median_latency_ms": 24.64690559895833,
+   "method": "asap",
+   "milp_solve_secs": 0.210505922,
+   "objective": 0.014508346831557495,
+   "rolled_up_rqes": 104,
+   "rqes": 124,
+   "sla_ms": 10000.0,
+   "weights": "fargate"
+  },
+  {
+   "active_deployments": 26,
+   "cpu": 0.5806692567209003,
+   "cpu_parts": {
+    "compaction": 0.0,
+    "ingest": 0.44888759999999994,
+    "query": 0.13178165672090036
+   },
+   "gib": 2.5226540226402685,
+   "gib_parts": {
+    "compaction": 0.0,
+    "ingest": 0.1574791893362999,
+    "query": 0.002986993259470107,
+    "storage": 2.3621878400444984
+   },
+   "hydra_rqes": 0,
+   "infeasible": false,
+   "latency_ms": 958.6905598958333,
+   "median_latency_ms": 16.16864686468647,
+   "method": "asap-norollup",
+   "milp_solve_secs": 0.085083542,
+   "objective": 0.03474291529794566,
+   "rolled_up_rqes": 0,
+   "rqes": 124,
+   "sla_ms": 10000.0,
+   "weights": "fargate"
+  },
+  {
+   "active_deployments": 124,
+   "cpu": 2.049516968372388,
+   "cpu_parts": {
+    "compaction": 0.0,
+    "ingest": 1.9252280000000028,
+    "query": 0.12428896837238552
+   },
+   "gib": 4.615254931939094,
+   "gib_parts": {
+    "compaction": 0.0,
+    "ingest": 0.6649284660816193,
+    "query": 0.0026651852254555722,
+    "storage": 3.947661280632019
+   },
+   "hydra_rqes": 0,
+   "infeasible": false,
+   "latency_ms": 958.6905598958333,
+   "median_latency_ms": 16.16864686468647,
+   "method": "perquery",
+   "milp_solve_secs": 0.091291158,
+   "objective": 0.10354332166621069,
+   "rolled_up_rqes": 0,
+   "rqes": 124,
+   "sla_ms": 10000.0,
+   "weights": "fargate"
+  },
+  {
+   "active_deployments": 124,
+   "benchmark_secs_paper_rate": 540.0,
+   "cpu": 12.260760061299113,
+   "cpu_parts": {
+    "compaction": 0.0,
+    "ingest": 12.179798399999994,
+    "query": 0.08096166129911817
+   },
+   "gib": 4.520753770003864,
+   "gib_parts": {
+    "compaction": 0.0,
+    "ingest": 3.8749287128448486,
+    "query": 3.6050182075261585e-06,
+    "storage": 0.6458214521408081
+   },
+   "hydra_rqes": 0,
+   "latency_ms": 490.15722656250006,
+   "median_latency_ms": 4.901572265625,
+   "meets_sla": true,
+   "method": "autosketch",
+   "objective": 0.5166781367591313,
+   "planning_secs": 0.00371294,
+   "probes": 332,
+   "rolled_up_rqes": 0,
+   "rqes": 124,
+   "sla_ms": 10000.0,
+   "weights": "fargate"
+  }
+ ],
+ "streams": 3,
+ "weights": [
+  {
+   "name": "cpu",
+   "w_cpu": 1.0,
+   "w_mem": 0.0
+  },
+  {
+   "name": "fargate",
+   "w_cpu": 0.0405,
+   "w_mem": 0.00445
+  }
+ ],
+ "workload": "synthetic/templates=multigroup/shared=8/tp95"
+}
\ No newline at end of file
diff --git a/scripts/export_autosketch_eval_table.py b/scripts/export_autosketch_eval_table.py
index fa4e963..8f09e71 100644
--- a/scripts/export_autosketch_eval_table.py
+++ b/scripts/export_autosketch_eval_table.py
@@ -230,8 +230,8 @@ def rqe_entry(q, curves, curves_big, sat, sat_big, merge):
 SHARED_INTERVALS = [10, 60, 300]
 SHARED_SEED = 7
 # "classic" is the 10-template mixed set; "all" adds the multi-grouping
-# templates below.
-TEMPLATE_SETS = ["dashboard", "classic", "all"]
+# templates below; "multigroup" is the multi-grouping templates alone.
+TEMPLATE_SETS = ["dashboard", "classic", "all", "multigroup"]
 # Workload grid (#777 section 6): for each of SYNTHETIC_TEMPLATE_SETS, the
 # default point, then each scaling dimension alone. One accuracy level, 95% in each family's metric
 # (the runner's p95). `shared` replicas read one metric (the sharing benefit);
@@ -242,7 +242,7 @@ def rqe_entry(q, curves, curves_big, sat, sat_big, merge):
     "shared": [1, 8],
     "metrics": [1, 8, 16],
 }
-SYNTHETIC_TEMPLATE_SETS = ["all", "classic"]
+SYNTHETIC_TEMPLATE_SETS = ["all", "classic", "multigroup"]
 
 # Multi-grouping templates (sketch-bench docs/rqe_optimizer_hydra.md): two
 # metrics with an ordered label schema, each value read at several groupings
@@ -295,9 +295,10 @@ def rqe_entry(q, curves, curves_big, sat, sat_big, merge):
 SCHEMA_MIN_COVERED_N = 1e3
 
 
-def all_subsets(metric):
-    """Every non-empty subset of `metric`'s labels, in schema order."""
-    names = [label["name"] for label in SCHEMAS[metric]["labels"]]
+def all_subsets(metric, names=None):
+    """Every non-empty subset of `names` (default: all of `metric`'s labels),
+    in schema order."""
+    names = names or [label["name"] for label in SCHEMAS[metric]["labels"]]
     return [list(c) for n in range(1, len(names) + 1) for c in itertools.combinations(names, n)]
 
 
@@ -311,8 +312,10 @@ def all_subsets(metric):
     (14, "distinct_users", "http", "user_id", "cardinality",
      [["region"], ["service"], ["region", "service"], ["service", "endpoint"]], 0.01),
     (15, "distinct_users", "http", "user_id", "cardinality", all_subsets("http"), 0.05),
+    # p99 latency GROUP BY CUBE(region, service, endpoint): every grouping of
+    # three labels, which one deployment at the finest serves by roll-ups.
     (16, "p99_latency", "http", "latency", "quantile",
-     [["service"], ["region", "service"], ["service", "status"]], None),
+     all_subsets("http", ["region", "service", "endpoint"]), None),
     # Negative control: every group, the smallest included.
     (17, "distinct_users", "http", "user_id", "cardinality", [["service", "endpoint"]], None),
 ]
@@ -466,6 +469,8 @@ def add(query_id, stream, capability, rng, s, t, groups, keys=None):
                 add(f"quantile_over_time_p{q}", "series/dist", "quantile", label(rng), s,
                     interval, C)
         return out
+    if templates == "multigroup":
+        return schema_queries(interval, dataset, range_with_interval, seen, metric)
     assert templates in ("classic", "all"), templates
     quantiles = quantiles or SYNTHETIC_QUANTILES
     add("sum_by_job", "job/value", "sum", "1s", 1, 1, J)
diff --git a/scripts/plot_autosketch_vs_asap_sla.py b/scripts/plot_autosketch_vs_asap_sla.py
index 308d499..b6b80c0 100644
--- a/scripts/plot_autosketch_vs_asap_sla.py
+++ b/scripts/plot_autosketch_vs_asap_sla.py
@@ -46,7 +46,7 @@ def title(data):
     m = re.search(r"templates=(\w+)/shared=(\d+)(?:/metrics=(\d+))?", data["workload"])
     if not m:
         return data["workload"]
-    name = {"classic": "mixed", "all": "mixed + multi-grouping"}.get(m.group(1), m.group(1))
+    name = {"classic": "mixed", "all": "mixed + multi-grouping", "multigroup": "multi-grouping"}.get(m.group(1), m.group(1))
     if m.group(3):
         return f"{name}, m = {m.group(3)}"
     if m.group(2) != "1":
diff --git a/scripts/plot_autosketch_vs_asap_synthetic.py b/scripts/plot_autosketch_vs_asap_synthetic.py
index e75bf47..25a5667 100644
--- a/scripts/plot_autosketch_vs_asap_synthetic.py
+++ b/scripts/plot_autosketch_vs_asap_synthetic.py
@@ -52,7 +52,7 @@
 
 
 # Each template set's title (export_autosketch_eval_table.py's TEMPLATE_SETS).
-TEMPLATE_TITLES = {"classic": "mixed", "all": "mixed + multi-grouping"}
+TEMPLATE_TITLES = {"classic": "mixed", "all": "mixed + multi-grouping", "multigroup": "multi-grouping"}
 
 
 def point(data):
diff --git a/scripts/test_export_autosketch_eval_table.py b/scripts/test_export_autosketch_eval_table.py
index ac3a7ee..ba1445e 100644
--- a/scripts/test_export_autosketch_eval_table.py
+++ b/scripts/test_export_autosketch_eval_table.py
@@ -202,12 +202,14 @@ def test_all_is_classic_plus_the_schema_templates(self):
         every = synthetic_queries(templates="all", dataset="d")
         self.assertEqual(every[:len(classic)], classic)
         new = every[len(classic):]
-        # Per window (5m, 15m): 1 + 3 + 4 + 15 + 3 + 1 groupings.
-        self.assertEqual(len(new), 2 * 27)
+        # Per window (5m, 15m): 1 + 3 + 4 + 15 + 7 + 1 groupings.
+        self.assertEqual(len(new), 2 * 31)
         self.assertEqual({q["stream"] for q in new},
                          {"flows/src_ip", "http/user_id", "http/latency"})
         self.assertEqual({q["range"] for q in new}, {"5m", "15m"})
         self.assertTrue(all("grouping" not in q for q in classic))
+        # "multigroup" is the schema templates alone.
+        self.assertEqual(synthetic_queries(templates="multigroup", dataset="d"), new)
 
     def test_schema_cardinalities_count_a_child_with_its_parent(self):
         self.assertEqual(grouping_cardinality("http", ["region"]), 4)
@@ -243,6 +245,8 @@ def test_template_groupings_are_ordered_subsets_of_the_schema(self):
         groupings = {n: g for n, *_, g, _ in SCHEMA_TEMPLATES}
         self.assertEqual(len(groupings[15]), 15)
         self.assertEqual(groupings[17], [["service", "endpoint"]])
+        # Template 16 is CUBE(region, service, endpoint).
+        self.assertEqual(len(groupings[16]), 7)
 
     def test_rqe_entries_name_grouping_coverage_and_shape(self):
         with tempfile.TemporaryDirectory() as out:
@@ -259,7 +263,7 @@ def test_rqe_entries_name_grouping_coverage_and_shape(self):
                          (0.8, 1_000_000))
         self.assertIsNone(rqes["t17_distinct_users_by_service,endpoint/15m"]
                           ["covers_share"])
-        kll, dd = rqes["t16_p99_latency_by_service,status/5m"]["families"]
+        kll, dd = rqes["t16_p99_latency_by_region,service,endpoint/5m"]["families"]
         self.assertEqual((kll["grid_param"], kll["grid_K"]), (COST_PARETO_ALPHA, None))
         self.assertEqual(rqes["t11_distinct_src_by_dst_subnet/5m"]["covers_share"], 0.05)
         self.assertEqual((r["covered_groups"], r["min_covered_share"], r["max_covered_share"],