socc-skills

Plugin socc-skills from marketplace awesome-journal-skills in brycewang-stanford/Awesome-Journal-Skills. Commands read from the repo's manifest — 1 month ago.

Skills (12)

• socc-artifact-evaluation

  Use when packaging an ACM SoCC artifact for the ACM Artifact Review and Badging scheme (Artifacts Available, Evaluated Functional and Reusable, Results Reproduced), covering what a cloud-systems evaluator checks first, reproducing tail-latency and cost results on a testbed, DOI-issuing archives, and

• socc-author-response

  Use when drafting an ACM SoCC author response (rebuttal) during a round's response window, covering the single written turn, answering both the systems and the data/measurement reviewer, supplying the tail-latency and cost numbers reviewers ask for, staying within dual anonymity, and the fact that S

• socc-camera-ready

  Use when preparing an accepted ACM SoCC paper for its camera-ready, covering de-anonymization, the acmart/sigconf final format and ACM metadata (DOI, ORCID, CCS concepts), integrating reviewer-required changes without scope creep, permanentizing released code and traces, the ACM rights/e-copyright f

• socc-experiments

  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, an

• socc-related-work

  Use when positioning an ACM SoCC submission against both the systems literature (OSDI, NSDI, EuroSys, ATC, SOSP, SoCC) and the data-management literature (SIGMOD, VLDB), writing delta-first contrast rather than a citation catalog, keeping self-citations dual-anonymous, and handling concurrent, prepr

• socc-reproducibility

  Use when strengthening ACM SoCC reproducibility, covering the testbed and workload description, released code and traces, provenance pinning for measurement studies, reproducing tail-latency and cost (not just the mean), claim-to-evidence mapping, honest degrees of reproducibility, and consistency b

• socc-review-process

  Use when reasoning about how an ACM SoCC submission is evaluated, covering dual-anonymous review, the two-round-per-year model with the no-cross-round-resubmission rule, the author-response (rebuttal) period, the joint SIGMOD+SIGOPS reviewer pool that reads for both systems and data quality, and how

• socc-submission

  Use when auditing an ACM SoCC (Symposium on Cloud Computing) research-paper submission for HotCRP readiness, covering the two-round abstract+paper deadlines, the acmart/sigconf 12-page (full) or 6-page (short) budget with unlimited references, dual-anonymous review, the systems-and-data reproducibil

• socc-supplementary

  Use when deciding what belongs in an ACM SoCC paper body versus its released artifact and appendices, covering the acmart 12-page (full) or 6-page (short) budget with unlimited references, the rule that decision-critical evidence stays inside the reviewed pages, dual-anonymous supplementary material

• socc-topic-selection

  Use when deciding whether a cloud-computing project belongs at ACM SoCC or should be routed to OSDI, NSDI, EuroSys, USENIX ATC, SOSP, or a data venue (SIGMOD/VLDB), leaning on SoCC's unique joint SIGMOD+SIGOPS identity, its welcome of measurement and experience papers alongside systems-building, and

• socc-workflow

  Use when planning an ACM SoCC project timeline from venue fit through the two-round abstract+paper deadlines, the rebuttal, notification, camera-ready, and presentation, with backward-planning offsets for a cloud-systems measurement paper and honest handling of the two-rounds-per-year cadence and th

• socc-writing-style

  Use when revising an ACM SoCC paper for a cloud-scale problem an operator recognizes on the first page, a contribution at the systems-and-data intersection, evidence measured on a real or realistic deployment with tail latency and cost as first-class, dual-anonymous wording, and disciplined use of t

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