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PODC Topic Selection

brycewang-stanfordbybrycewang-stanford
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1.1k
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学习与文档

Evaluates distributed computing research to determine publication venue fit across ACM PODC, DISC, SPAA, systems conferences, and theoretical journals.

PODC Topic Selection guides distributed computing researchers in selecting the right academic publication venue for their theoretical and algorithmic results. By analyzing the core distributed model, timing assumptions, fault models, and cost measures, this skill helps authors navigate routing decisions between ACM PODC, DISC, SPAA, general theory venues (STOC/FOCS/SODA), systems conferences (OSDI/NSDI/DSN), and dedicated journals (JACM, Distributed Computing). It includes rigorous tests to separate distributed theory from sequential algorithms or built systems, clarifies the distinction between PODC and PODS, and assesses proof maturity for regular papers versus brief announcements.

主要功能

01Venue routing matrix covering ACM PODC, DISC, SPAA, STOC/FOCS, and systems venues
02Proof maturity checks to distinguish regular papers from brief announcements or journal submissions
03Scope guidance to avoid the common PODC (distributed) versus PODS (database) naming trap
041,086 GitHub stars
05Model-swap and de-distribute tests to verify genuine distributed computing difficulty
06Conference program and citation reconnaissance workflows to assess reviewer pool alignment

使用场景

01Deciding whether a distributed algorithm result belongs at PODC, DISC, or SPAA based on calendar and model focus
02Testing whether a distributed ledger or consensus result is theoretical (PODC) or applied crypto engineering (AFT/CCS)
03Evaluating whether an implementation-heavy paper with empirical metrics should be redirected to ICDCS, DSN, or OSDI