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)
Showing 19 of 69 citing papers.
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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