NyxCache: Flexible and Efficient Multi-tenant Persistent Memory Caching


Kan Wu, Kaiwei Tu, and Yuvraj Patel, University of Wisconsin–Madison; Rathijit Sen and Kwanghyun Park, Microsoft; Andrea Arpaci-Dusseau and Remzi Arpaci-Dusseau, University of Wisconsin–Madison


We present NyxCache (Nyx), an access regulation framework for multi-tenant persistent memory (PM) caching that supports light-weight access regulation, per-cache resource usage estimation and inter-cache interference analysis. With these mechanisms and existing admission control and capacity allocation logic, we build important sharing policies such as resource-limiting, QoS-awareness, fair slowdown, and proportional sharing: Nyx resource-limiting can accurately limit PM usage of each cache, providing up to 5x better performance isolation than a bandwidth-limiting method. Nyx QoS can provide QoS guarantees to latency-critical caches while providing higher throughput (up to 6x vs. previous DRAM-based approaches) to best-effort caches that are not interfering. Finally, we show that Nyx is useful for realistic workloads, isolating write-spikes and ensuring that important caches are not slowed down by increased best-effort traffic.

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@inproceedings {277850,
author = {Kan Wu and Kaiwei Tu and Yuvraj Patel and Rathijit Sen and Kwanghyun Park and Andrea Arpaci-Dusseau and Remzi Arpaci-Dusseau},
title = {{NyxCache}: Flexible and Efficient Multi-tenant Persistent Memory Caching},
booktitle = {20th USENIX Conference on File and Storage Technologies (FAST 22)},
year = {2022},
isbn = {978-1-939133-26-7},
address = {Santa Clara, CA},
pages = {1--16},
url = {https://www.usenix.org/conference/fast22/presentation/wu},
publisher = {USENIX Association},
month = feb,

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