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Towards Effective Partition Management for Large Graphs

Summary: Proposes Sedge, a self-evolving distributed graph manager with primary-plus-dynamic-secondary partitions to cut cross-machine traffic. Uses linear/sublinear workload analytics to adapt partitions in real time to locality-prone queries (BFS, random walk, SPARQL), boosting response time and throughput on commodity clusters. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4550
Venue
SIGMOD
Year
2012
Pagerank
9.8844201e-05
Overall Rank
1,976 | 86.26%
DOI
-

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