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Cost Modelling for Optimal Data Placement in Heterogeneous Main Memory

Summary: Cost model for heterogeneous main memory placement in IMDBMS (DRAM vs PMEM) using lightweight workload signatures. Prototype on SAP HANA shows all-PMEM hurts analytics; pareto-optimal placement preserves >75% of table data in PMEM with ≤10% DRAM-baseline loss. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12959
Venue
VLDB
Year
2022
Pagerank
5.4087323e-05
Overall Rank
8,579 | 41.15%
DOI
10.14778/3551793.3551837

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lasch_vldb22,
        title = {{Cost Modelling for Optimal Data Placement in Heterogeneous Main Memory}},
        author = {Lasch, Robert and Legler, Thomas and May, Norman and Scheirle, Bernhard and Sattler, Kai-Uwe},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {11},
        pages = {2867--2880},
        doi = {10.14778/3551793.3551837},
        url = {https://doi.org/10.14778/3551793.3551837},
        year = {2022}
}

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