Welcome to the InfoSci Platform
Predictive File Replication on the Data Grids

Predictive File Replication on the Data Grids

ChenHan Liao, Na Helian, Sining Wu, Mamunur M. Rashid
Copyright: © 2012 |Pages: 17
ISBN13: 9781466600560|ISBN10: 146660056X|EISBN13: 9781466600577
DOI: 10.4018/978-1-4666-0056-0.ch005
Cite Chapter Cite Chapter

MLA

Liao, ChenHan, et al. "Predictive File Replication on the Data Grids." Evolving Developments in Grid and Cloud Computing: Advancing Research, edited by Emmanuel Udoh, IGI Global, 2012, pp. 67-83. https://doi.org/10.4018/978-1-4666-0056-0.ch005

APA

Liao, C., Helian, N., Wu, S., & Rashid, M. M. (2012). Predictive File Replication on the Data Grids. In E. Udoh (Ed.), Evolving Developments in Grid and Cloud Computing: Advancing Research (pp. 67-83). IGI Global. https://doi.org/10.4018/978-1-4666-0056-0.ch005

Chicago

Liao, ChenHan, et al. "Predictive File Replication on the Data Grids." In Evolving Developments in Grid and Cloud Computing: Advancing Research, edited by Emmanuel Udoh, 67-83. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0056-0.ch005

Export Reference

Mendeley
Favorite

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.