Accordion: Elastic Scalability for Database Systems Supporting Distributed Transactions
Summary: Accordion enables elastic scaling for partitioned DBMSs with ACID distributed transactions by modeling partition affinity and its throughput impact. A MILP-driven placement strategy outperforms heuristics by up to 10× in servers used and data migrated. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Marco Serafini (Qatar Computing Research Institute)
- 2. Essam Mansour (Qatar Computing Research Institute)
- 3. Ashraf Aboulnaga (Qatar Computing Research Institute)
- 4. Kenneth Salem (University of Waterloo)
- 5. Taha Rafiq (Amazon)
- 6. Umar Farooq Minhas (IBM)
BibTeX Citation
@article{serafini_vldb14,
title = {{Accordion: Elastic Scalability for Database Systems Supporting Distributed Transactions}},
author = {Serafini, Marco and Mansour, Essam and Aboulnaga, Ashraf and Salem, Kenneth and Rafiq, Taha and Minhas, Umar Farooq},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {12},
pages = {1035--1048},
doi = {10.14778/2733004.2733009},
url = {https://doi.org/10.14778/2733004.2733009},
year = {2014}
}
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