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dc.citation.conferencePlace US -
dc.citation.conferencePlace Austin -
dc.citation.endPage 100 -
dc.citation.startPage 99 -
dc.citation.title 6th ACM/SPEC International Conference on Performance Engineering, ICPE 2015 -
dc.contributor.author Jeong, Haksu -
dc.contributor.author Ryu, Junhee -
dc.contributor.author Lee, Dongeun -
dc.contributor.author Lee, Jaemyoun -
dc.contributor.author Shin, Heonshik -
dc.contributor.author Kang, Kyungtae -
dc.date.accessioned 2023-12-19T23:06:12Z -
dc.date.available 2023-12-19T23:06:12Z -
dc.date.created 2015-03-31 -
dc.date.issued 2015-01-31 -
dc.description.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 programfirst 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%. Copyright © 2015 ACM -
dc.identifier.bibliographicCitation 6th ACM/SPEC International Conference on Performance Engineering, ICPE 2015, pp.99 - 100 -
dc.identifier.doi 10.1145/2668930.2688062 -
dc.identifier.isbn 978-145033248-4 -
dc.identifier.scopusid 2-s2.0-84923916299 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/50804 -
dc.identifier.url http://dl.acm.org/citation.cfm?doid=2668930.2688062 -
dc.language 영어 -
dc.publisher ACM/SPEC -
dc.title ClusterFetch: A lightweight prefetcher for general workloads -
dc.type Conference Paper -
dc.date.conferenceDate 2015-01-31 -

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