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Improving Hybrid Flash-Disk Storage through Intelligent Prefetching: A Data Mining Approach

Authors
Yoon, Un-KeunKim, Han-joonCha, Jaehyuk
Issue Date
Jul-2009
Keywords
Hybrid Flash-Disk Storage; Flash Memory; Prefetching; Data Mining; Sequential Pattern Mining
Citation
Information, v.12, no.4, pp 911 - 922
Pages
12
Indexed
SCIE
Journal Title
Information
Volume
12
Number
4
Start Page
911
End Page
922
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/176560
ISSN
1344-8994
1344-8994
Abstract
In this paper, we describe a sequential pattern-based prefetching method that can be used for hybrid flash-disk storage device, a combination of hard disk and flash memory. Before we employ the hybrid storage as the primary persistent storage device, we have to develop high-level management skills fit for the device. The hybrid storage can use the flash memory as a cache space to improve system performance. With the memory architecture, we focus on prefetching file objects to be accessed in the near future through the sequential pattern data mining technique. Through intensive experiments using UCC and synthetic data, we show that the proposed method achieves to improve system I/O speed by more than 23%.
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Cha, Jae Hyuk
COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
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