Take Out the TraChe: Maximizing (Tra)nsactional Ca(che) Hit Rate

Authors: 

Audrey Cheng, David Chu, Terrance Li, Jason Chan, Natacha Crooks, Joseph M. Hellerstein, and Ion Stoica, UC Berkeley; Xiangyao Yu, University of Wisconsin—Madison

Abstract: 

Most caching policies focus on increasing object hit rate to improve overall system performance. However, these algorithms are insufficient for transactions. In this work, we define a new metric, transactional hit rate, to capture when caching reduces latency for transactions. We present DeToX, a caching system that leverages transactional dependencies to make eviction and prefetching decisions. DeToX is able to significantly outperform single-object alternatives on real-world workloads and popular OLTP benchmarks, providing up to a 130% increase in transaction hit rate and 3.4x improvement in cache efficiency.

OSDI '23 Open Access Sponsored by
King Abdullah University of Science and Technology (KAUST)

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BibTeX
@inproceedings {288548,
author = {Audrey Cheng and David Chu and Terrance Li and Jason Chan and Natacha Crooks and Joseph M. Hellerstein and Ion Stoica and Xiangyao Yu},
title = {Take Out the {TraChe}: Maximizing (Tra)nsactional Ca(che) Hit Rate},
booktitle = {17th USENIX Symposium on Operating Systems Design and Implementation (OSDI 23)},
year = {2023},
isbn = {978-1-939133-34-2},
address = {Boston, MA},
pages = {419--439},
url = {https://www.usenix.org/conference/osdi23/presentation/cheng},
publisher = {USENIX Association},
month = jul
}

Presentation Video