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Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores

Summary: Adaptive NUMA-aware data placement and task scheduling for in-memory column-stores to maximize local memory access across sockets. Tracks per-table/group socket usage, repartitions data to fix imbalances, and disables inter-socket stealing for memory-heavy tasks, enabling up to 4× throughput on copartitioned analytics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11534
Venue
VLDB
Year
2017
Pagerank
5.6908086e-05
Overall Rank
5,109 | 64.46%
DOI
-

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