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sigmod-experiments
Use when designing or auditing the evaluation of a SIGMOD paper, covering workload realism and standard benchmark usage, baseline tuning fairness, scalability and tail-latency methodology, ablations that isolate the mechanism, and the setup disclosure a data-systems PC demands before trusting any speedup.
SIGMOD-Skills/skills/sigmod-experiments/SKILL.md
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# SIGMOD Experiments
The evaluation section decides most SIGMOD verdicts. A data-systems PC does
not ask whether your system is fast; it asks whether the experiments would
convince the person who built the baseline you beat. Design the evaluation
to survive that specific reader.
## The setup table comes first
Before any result, the paper owes a complete experimental contract: hardware
(CPU, memory, storage class, network), software versions, datasets with
scale, workloads with skew and mix parameters, baseline versions and tuning
provenance, repetition counts, and warm-up policy. At SIGMOD this is not
appendix material — reviewers skim to it before reading the design.