An Empirical Evaluation of In-Memory Multi-Version Concurrency Control
Summary: Empirical study of MVCC on multi-core hardware, evaluating four design axes: concurrency protocol, version storage, GC, and index management. Implemented MVCC variants in in-memory DBMS and evaluated OLTP workloads to reveal bottlenecks and scaling limits. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yingjun Wu (National University of Singapore)
- 2. Joy Arulraj (Carnegie Mellon University)
- 3. Jiexi Lin (Carnegie Mellon University)
- 4. Ran Xian (Carnegie Mellon University)
- 5. Andrew Pavlo (Carnegie Mellon University)
BibTeX Citation
@article{wu_vldb17,
title = {{An Empirical Evaluation of In-Memory Multi-Version Concurrency Control}},
author = {Wu, Yingjun and Arulraj, Joy and Lin, Jiexi and Xian, Ran and Pavlo, Andrew},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {7},
pages = {781--792},
doi = {10.14778/3067421.3067427},
url = {https://doi.org/10.14778/3067421.3067427},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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