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feat(asap-tools): Alibaba and Google trace replay builders - #919
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milindsrivastava1997 wants to merge 2 commits into
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milindsrivastava1997 wants to merge 2 commits into
milindsrivastava1997 wants to merge 2 commits into
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Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01GLAs2FV3uZpVD7mUb6vUxk make_replay.py reads MSRTMCR tarballs and takes --column (e.g. providerrpc_mcr); empty values become 0. ALIBABA_MAPPING.md documents the mapping.
make_google_replay.py builds a paced-feeder replay table from task_usage CPU rate in the random workloads' label shape. GOOGLE_MAPPING.md and scripts/ record how the trace subset was chosen. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01GLAs2FV3uZpVD7mUb6vUxk
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Builders for the trace replay tables the paced feeder plays back (feeder support landed in #909).
datasets/alibaba/make_replay.py): reads MSRTMCR tarballs as well as plain CSVs, takes--columnfor the value column (e.g.providerrpc_mcr), and treats empty values as 0.ALIBABA_MAPPING.mddocuments how pods map onto the random workloads' labels.datasets/google/make_google_replay.py): builds a replay table from ClusterData 2011task_usageCPU rate in the same 4 × 5 × 10 × 50 label shape.GOOGLE_MAPPING.mdandscripts/record how the trace subset was chosen.Values are scaled (Alibaba ×10⁴, Google ×10⁶) because Count-Min top-k rounds weights to integers (#916).
Generated tables (Google's is 385 MB) are not committed.
🤖 Generated with Claude Code
https://claude.ai/code/session_01GLAs2FV3uZpVD7mUb6vUxk