Individual skill
sigmetrics-related-work
Use when positioning an ACM SIGMETRICS submission against the performance-evaluation literature across SIGMETRICS/POMACS, Performance Evaluation, QUESTA, TON, and the systems/learning/measurement neighbors (NSDI/OSDI, IMC, NeurIPS/ICML), writing delta-first contrast rather than a citation catalog, keeping self-citations double-anonymous, and handling concurrent and prior-version overlap.
SIGMETRICS-Skills/skills/sigmetrics-related-work/SKILL.md
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# SIGMETRICS Related Work
Use this to audit novelty and eligibility. SIGMETRICS reviewers are close to the
performance-evaluation literature and expect to see where your paper sits relative to the nearest
prior model, bound, or measurement — stated as a **delta**, not a list. Reopen the current call for
the simultaneous-submission and prior-publication rules (a paper under one-shot revision counts as
under submission) before advising authors.
## Positioning checks
- **Separate the analytic/measurement novelty from the engineering effort.** What is new: a tighter
bound, a more general model, a policy that provably beats a known one, a measurement of a system
nobody had characterized, or a learning algorithm with a new guarantee?
- **Cover the performance-evaluation lanes** (see the table), not just the papers nearest your