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