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Sharing Data and Work Across Concurrent Analytical Queries

Summary: Evaluates runtime sharing via Simultaneous Pipelining (SP) and Global Query Plans (GQP), showing their orthogonality and concurrency-dependent benefits. A pull-based SP removes low-concurrency overhead and, combined with GQP, substantially improves high-concurrency analytical workloads. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10915
Venue
VLDB
Year
2013
Pagerank
6.7563122e-05
Overall Rank
4,330 | 70.30%
DOI
10.14778/2536360.2536361

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{psaroudakis_vldb13,
        title = {{Sharing Data and Work Across Concurrent Analytical Queries}},
        author = {Psaroudakis, Iraklis and Athanassoulis, Manos and Ailamaki, Anastasia},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {9},
        pages = {637--648},
        doi = {10.14778/2536360.2536361},
        url = {https://doi.org/10.14778/2536360.2536361},
        year = {2013}
}

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