Predictive File Replication on the Data Grids

Chenhan Liao, Na Helian, Sining Wu, Md Mamunur Rashid

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

Most replication methods either monitor the popularity of files or use complicated functions to calculate the overall cost of whether or not a replication decision or a deletion decision should be issued. However, once the replication decision is issued, the popularity of the files is changed and may have already impacted access latency and resource usage. This article proposes a decision-tree-based predictive file replication strategy that forecasts files’ future popularity based on their characteristics on the Grids. The proposed strategy has shown superb performance in terms of mean job time and effective network usage compared with the other two replication strategies, LRU and Economic under OptorSim simulation environment.
Original languageEnglish
Title of host publicationEvolving Developments in Grid and Cloud Computing: Advancing Research
EditorsEmmanuel Udoh
PublisherIGI Global
Chapter5
Pages67-83
Number of pages17
ISBN (Electronic)9781466600577
DOIs
Publication statusPublished - 2012

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