DimmStore: Memory Power Optimization for Database Systems

Summary: DimmStore, memory-power optimization for DBs, uses rank-aware allocation and rate-based layout to concentrate load. Prototype with a hardware testbed evaluated on YCSB/TPC-C, reporting up to 50% power savings and minimal performance impact. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12030
Venue: VLDB
Year: 2019
Pagerank: 5.3483178e-05
Overall Rank: 8,931 | 38.73%
DOI: 10.14778/3342263.33422629

Incoming Non-self Citations Over Time

Authors

1. Alexey Karyakin (University of Waterloo)
2. Kenneth Salem (University of Waterloo)

BibTeX Citation

@article{karyakin_vldb19,
        title = {{DimmStore: Memory Power Optimization for Database Systems}},
        author = {Karyakin, Alexey and Salem, Kenneth},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {11},
        pages = {1499--1512},
        doi = {10.14778/3342263.33422629},
        url = {https://doi.org/10.14778/3342263.33422629},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
11,357	Data Pipes: Declarative Control over Data Movement	2023	CIDR	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
83	H-Store: A High-Performance, Distributed Main Memory Transaction Processing System	2008	VLDB	0.00036185259
720	Anti-Caching: A New Approach to Database Management System Architecture	2013	VLDB	0.00014632914
883	Analyzing the Energy Efficiency of a Database Server	2010	SIGMOD	0.00013421859
3,455	How to Build a Non-Volatile Memory Database Management System	2017	SIGMOD	7.4000022e-05
9,746	Workload-Aware CPU Performance Scaling for Transactional Database Systems	2018	SIGMOD	5.227679e-05

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