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ClusterFetch: A Lightweight Prefetcher for General Workloads

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Authors

Jeong, Haksu; Ryu, Junhee; Lee, Dongeun; Lee, Jaemyoun; Shin, Heonshik; Kang, Kyungtae

Issue Date
2016-02-01
Citation
6th ACM/SPEC International Conference on Performance Engineering
Keywords
ClusterFetchLightweight prefetchLaunch and loading times
reduction
Abstract
Application loading times can be reduced by prefetching disk
blocks into the buffer cache. Existing prefetching schemes
for general workloads suffer from significant overheads and
low accuracy. ClusterFetch is a lightweight prefetcher that
identifies continuous sequences of I/O requests and identifies
the files that trigger them. The next time that the same files
are opened, the corresponding disk blocks are prefetched.
In experiments, ClusterFetch reduced the launch time, by
which we refer to the latency that occurs when a program
first runs, by 15.2 to 30.9%, and loading times, meaning the
delays that are incurred while additional data is loaded from
the disk during program execution, by 15.9%.
URI
https://hdl.handle.net/10371/95525
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