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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
11722
Venue
VLDB
Year
2017
Pagerank
6.6088324e-05
Overall Rank
4,607 | 68.40%
DOI
10.14778/3015274.3015275

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{psaroudakis_vldb17,
        title = {{Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores}},
        author = {Psaroudakis, Iraklis and Scheuer, Tobias and May, Norman and Sellami, Abdelkader and Ailamaki, Anastasia},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {2},
        pages = {37--48},
        doi = {10.14778/3015274.3015275},
        url = {https://doi.org/10.14778/3015274.3015275},
        year = {2017}
}

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