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ClusterFetch: A Lightweight Prefetcher for Intensive Disk Reads

Title
ClusterFetch: A Lightweight Prefetcher for Intensive Disk Reads
Author
강경태
Keywords
Disk prefetching; disk read bursts detection; quick application loading; user-perceived latency improvement
Issue Date
2018-02
Publisher
IEEE COMPUTER SOC
Citation
IEEE TRANSACTIONS ON COMPUTERS, v. 67, No. 2, Page. 284-290
Abstract
By overlapping disk accesses with computation-intensive operations, prefetching can reduce delays in launching an application and in loading significant amounts of data while the application is running. The key to effective prefetching is making the tradeoff between the mining accuracy of selecting relevant blocks, and the time to decide those blocks. To address this problem, we propose a new prefetcher called ClusterFetch. In its learning mode, ClusterFetch detects periods of intensive disk accesses by monitoring the speed at which read requests are queued; it re-organizes these reads and locates the file opened by the application just before each such period. During subsequent runs of the same application, ClusterFetch prefetches the data associated with the opening of a "trigger" file. Our experimental results show that ClusterFetch implemented in Linux can reduce the application launch time by up to 41.3 percent and the loading time by up to 38.2 percent, while taking up less than 200 KB of main memory.
URI
https://ieeexplore.ieee.org/abstract/document/8025580http://repository.hanyang.ac.kr/handle/20.500.11754/80936
ISSN
0018-9340
DOI
10.1109/TC.2017.2748939
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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