Yifan Dai, Jing Liu, Andrea Arpaci-Dusseau, and Remzi Arpaci-Dusseau, University of Wisconsin—Madison
We introduce Symbiosis, a framework for key-value storage systems that dynamically configures application and kernel cache sizes to improve performance. We integrate Symbiosis into three production systems — LevelDB, WiredTiger, and RocksDB — and, through a series of experiments on various read-heavy workloads and environments, show that Symbiosis improves performance by 1.5× on average and over 5× at best compared to static configurations, across a wide range of synthetic and real-world workloads.
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author = {Yifan Dai and Jing Liu and Andrea Arpaci-Dusseau and Remzi Arpaci-Dusseau},
title = {Symbiosis: The Art of Application and Kernel Cache Cooperation},
booktitle = {22nd USENIX Conference on File and Storage Technologies (FAST 24)},
year = {2024},
isbn = {978-1-939133-38-0},
address = {Santa Clara, CA},
pages = {51--69},
url = {https://www.usenix.org/conference/fast24/presentation/dai},
publisher = {USENIX Association},
month = feb
}
