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SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses

Summary: SafeLoad: admission-control system to predict memory-overloading (MO) queries via an interpretable discriminative filter plus hybrid global/cluster models and a misprediction-correction stage. With SafeBench (150M queries) and self-tuning per-cluster quotas, it achieves up to 66% higher precision and up to 8.09x reduction in CPU waste with low overhead. (summarized by gpt-5-mini on Mar 13 2026)

Paper ID
14353
Venue
VLDB
Year
2026
Pagerank
4.1945683e-05
Overall Rank
10,310 | 28.28%
DOI
10.14778/3785297.3785311

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