Sized-based replacement-k replacement policy in data grid environments

Hong Jin Park, Chang Hoon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The data grid computing provides geographically distributed storage resources to solve computational problems with large-scale data. Unlike cache replacement policies in virtual memory or web-caching replacement, an optimal file replacement policy for data grids is the one of the important problems by the fact that file size is very large. The traditional file replacement policies such as LRU(Least Recently Used), LCB-K(Least Cost Beneficial based on K), EBR(Economic-based cache replacement), LVCT(Least Value-based on Caching Time) must predict near future or need additional resources for file replacement. In this paper, the SBR-k(Sized-based replacement-k) policy for solving previous problems propose. The SBR-k replacement is a file size based replacement policy for new file. The results of the simulation show that the proposed policy performs better than traditional policies.

Original languageEnglish
Title of host publicationParallel and Distributed Processing and Applications - 4th International Symposium, ISPA 2006, Proceedings
EditorsMinyi Guo, Laurence T Yang, Beniamino Di Martino, Hans P. Zima, Hans P. Zima, Jack Dongarra, Feilong Tang
PublisherSpringer Verlag
Pages353-361
Number of pages9
ISBN (Print)9783540680673
DOIs
StatePublished - 2006
Event4th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2006 - Sorrento, Italy
Duration: 4 Dec 20066 Dec 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4330
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2006
Country/TerritoryItaly
CitySorrento
Period4/12/066/12/06

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