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Pipeline Group Optimization on Disaggregated Systems

Summary: Group concurrent pipelines by data-access similarity to fetch shared data once from disaggregated memory to compute nodes. With caching and a fast communication layer, this reduces redundant transfers and significantly boosts multi-query performance versus isolated pipelines. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
488
Venue
CIDR
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,358 | 22.08%
DOI
-

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BibTeX Citation

@inproceedings{geyer_cidr23,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '23},
        title = {{Pipeline Group Optimization on Disaggregated Systems}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Geyer, Andreas and Krause, Alexander and Habich, Dirk and Lehner, Wolfgang},
        year = {2023}
}

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