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HAWK: A Workload-driven Hierarchical Deadlock Detection Approach in Distributed Database System

Summary: HAWK builds a dynamic hierarchical detection tree from a workload-predicted access graph to partition detection into non-overlapping zones. SCC-cut + greedy graph-cut and periodic sampling adapt to workload changes, reducing time/communication overhead and shortening deadlock duration while improving throughput. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13992
Venue
VLDB
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,695 | 25.60%
DOI
10.14778/3748191.3748224

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