Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Prefetching data cache based on SSD device in distributed file systems

Authors
백두원홍지만An, J.-H.Kim, Y.
Issue Date
Nov-2016
Publisher
International Information Institute Ltd.
Keywords
Hadoop; HDFS; MapReduce; Split; SSDS caching
Citation
Information (Japan), v.19, no.11, pp.5299 - 5307
Journal Title
Information (Japan)
Volume
19
Number
11
Start Page
5299
End Page
5307
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/5713
ISSN
1343-4500
Abstract
A storage device that is used mainly in the Hadoop system, HDDs(Hard Drives Disks) have slower transfer speed and higher latency than SSDs(Solid State Disks). Even though the SSDs as an alternative to HDDs will replace HDDs eventually, some distributed file systems used to use SSDs as a cache of HDDs because SSDs are still too expensive. In this paper, we propose an efficient prefetching mechanism for distributed file systems that use SSDs as a cache. The proposed mechanism acquires a block ID that already used or will be used and prefetching it into the SSDs cache before receiving I/O requests. The proposed mechanism can increase the SSDs cache hit ratio when Hadoop MapReduce tasks are executing. In our performance evaluation, results show that the proposed mechanism significantly increased the performance of the Mapreduce compared with existing distributed file system where the existing SSDs cache was applied. © 2016 International Information Institute.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Information Technology > School of Computer Science and Engineering > 1. Journal Articles
College of Information Technology > Global School of Media > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Paik, Doo Won photo

Paik, Doo Won
College of Information Technology (Global School of Media)
Read more

Altmetrics

Total Views & Downloads

BROWSE