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INFOCOM Experiment Design & Audit

brycewang-stanfordbybrycewang-stanford
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Learning & Documentation

Audits and standardizes IEEE INFOCOM paper evaluations across analytical proofs, simulation setups, testbed measurements, and baseline fairness.

Designed specifically for computer networking researchers preparing submissions for IEEE INFOCOM, this skill audits and refines experimental evaluations across the entire analysis-simulation-testbed spectrum. It ensures research claims match their requisite evidence—such as pairing analytical bounds with proofs, simulation setups with named simulators and logged random seeds, and real-world performance claims with trace-driven testbed measurements. By enforcing honest baseline tuning, variance reporting with confidence intervals, and explicit assumption defenses, it systematically eliminates the common methodological flaws that lead to paper rejections.

Key Features

01Maps networking claims directly to required evidence types across proofs, simulations, and testbeds
02Generates structured evaluation readiness scorecards with actionable decision-critical next steps
03Audits simulation reproducibility including named simulators, topology sources, and logged random seeds
04Checks statistical rigor requiring variance reporting and confidence intervals
05Enforces fair baseline evaluations with documented equal tuning budgets
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Use Cases

01Verifying baseline fairness and statistical reporting before paper freeze
02Designing robust simulation and testbed methodologies for networking research projects
03Pre-submission audit of IEEE INFOCOM networking papers to identify evaluation weaknesses