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Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks
Summary: Chiller introduces contention-centric data partitioning and execution for modern RDMA networks to minimize data contention on both local and distributed transactions. By prioritizing contention minimization over merely reducing cross-partition transactions, it beats traditional schemes by up to 2×.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
6001
Venue
SIGMOD
Year
2020
Pagerank
6.108451e-05
Overall Rank
5,725 | 60.73%
DOI
10.1145/3318464.3389724
Incoming Non-self Citations Over Time
BibTeX Citation
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@inproceedings{zamanian_sigmod20,
title = {{Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks}},
author = {Zamanian, Erfan and Shun, Julian and Binnig, Carsten and Kraska, Tim},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3389724},
url = {https://dl.acm.org/doi/10.1145/3318464.3389724},
year = {2020}
}
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Showing 25 of 25 cited papers.
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Pagerank
57
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E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing Systems
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The End of Slow Networks: It's Time for a Redesign
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High Performance Transactions via Early Write Visibility
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Mostly-Optimistic Concurrency Control for Highly Contended Dynamic Workloads on a Thousand Cores
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Improving Optimistic Concurrency Control Through Transaction Batching and Operation Reordering
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The End of a Myth: Distributed Transactions Can Scale
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Consistency Rationing in the Cloud: Pay only when it matters
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2016
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BCC: Reducing False Aborts in Optimistic Concurrency Control with Low Cost for In-Memory Databases
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