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socc-experiments

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Use when designing or auditing ACM SoCC evaluations, covering real or realistic deployments over simulation, production or representative workloads and traces, tail-latency and cost as first-class metrics, fair tuned baselines, scale and multi-tenancy behavior, reproducible measurement pipelines, and matching evidence to the shape of each cloud claim.

SoCC-Skills/skills/socc-experiments/SKILL.md

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# SoCC Experiments

Use this before submission when the evaluation is not yet locked. SoCC reviewers come from **both
SIGMOD and SIGOPS**, and the evaluation is where a good cloud idea is won or lost. The organizing
principle is **measured evidence proportional to the claim** — the study must test the thing the
paper asserts, on a system and workloads a skeptic from either community would accept, with **tail
latency and cost** reported, not just the mean.

## Evaluation audit

- **Prefer a real or realistic deployment over simulation.** A cloud claim about a system needs the
  system running on a testbed or cluster; simulation alone invites the "does it hold on real
  hardware?" reject. Where full scale is impossible, run a faithful scaled deployment and say so.
- **Use production or representative workloads/traces,** with stated provenance and selection, and
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