E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing Systems
Summary: E-Store: two-tier elastic partitioning for distributed OLTP that auto-scales with load spikes, periodic events, and gradual workload changes. Cold data in large chunks and small, node-specific hot ranges mitigate bottlenecks, delivering up to 130% throughput increase and 80% latency reduction vs single-tier schemes. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rebecca Taft (Massachusetts Institute of Technology)
- 2. Essam Mansour (Qatar Computing Research Institute)
- 3. Marco Serafini (Qatar Computing Research Institute)
- 4. Jennie Duggan (Northwestern University)
- 5. Aaron J. Elmore (University of Chicago)
- 6. Ashraf Aboulnaga (Qatar Computing Research Institute)
- 7. Andrew Pavlo (Carnegie Mellon University)
- 8. Michael Stonebraker (Massachusetts Institute of Technology)
BibTeX Citation
@article{taft_vldb15,
title = {{E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing Systems}},
author = {Taft, Rebecca and Mansour, Essam and Serafini, Marco and Duggan, Jennie and Elmore, Aaron J. and Aboulnaga, Ashraf and Pavlo, Andrew and Stonebraker, Michael},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {3},
pages = {245--256},
doi = {10.14778/2735508.2735511},
url = {https://doi.org/10.14778/2735508.2735511},
year = {2015}
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