The ADvanced Systems Laboratory (ADSL)
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Warming up Storage-Level Caches with Bonfire
Yiying Zhang,
Gokul Soundararajan, Mark W. Storer, Lakshmi N. Bairavasundaram, Sethuraman Subbiah,
Andrea C. Arpaci-Dusseau,
Remzi H. Arpaci-Dusseau
Department of Computer Sciences,
University of Wisconsin-Madison
NetApp, Inc.
Abstract:
Large caches in storage servers have become essential for
meeting service levels required by applications. These
caches need to be warmed with data often today due to
various scenarios including dynamic creation of cache
space and server restarts that clear cache contents. When
large storage caches are warmed at the rate of application
I/O, warmup can take hours or even days, thus affecting
both application performance and server load over a long
period of time.
We have created Bonfire, a mechanism for accelerating
cache warmup. Bonfire monitors storage server workloads,
logs important warmup data, and efficiently preloads
storage-level caches with warmup data. Bonfire is
based on our detailed analysis of block-level data-center
traces that provides insights into heuristics for warmup as
well as the potential for efficient mechanisms. We show
through both simulation and trace replay that Bonfire reduces
both warmup time and backend server load significantly,
compared to a cache that is warmed up on demand.
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