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Object Grouping and Replication on a Distributed Web Server System

Object Grouping and Replication on a Distributed Web Server System

Amjad Mahmood, Taher S.K. Homeed
Copyright: © 2009 |Pages: 16
ISBN13: 9781605664187|ISBN10: 1605664189|ISBN13 Softcover: 9781616925086|EISBN13: 9781605664194
DOI: 10.4018/978-1-60566-418-7.ch011
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MLA

Mahmood, Amjad, and Taher S.K. Homeed. "Object Grouping and Replication on a Distributed Web Server System." Integrated Approaches in Information Technology and Web Engineering: Advancing Organizational Knowledge Sharing, edited by Ghazi I. Alkhatib and David C. Rine, IGI Global, 2009, pp. 158-173. https://doi.org/10.4018/978-1-60566-418-7.ch011

APA

Mahmood, A. & Homeed, T. S. (2009). Object Grouping and Replication on a Distributed Web Server System. In G. Alkhatib & D. Rine (Eds.), Integrated Approaches in Information Technology and Web Engineering: Advancing Organizational Knowledge Sharing (pp. 158-173). IGI Global. https://doi.org/10.4018/978-1-60566-418-7.ch011

Chicago

Mahmood, Amjad, and Taher S.K. Homeed. "Object Grouping and Replication on a Distributed Web Server System." In Integrated Approaches in Information Technology and Web Engineering: Advancing Organizational Knowledge Sharing, edited by Ghazi I. Alkhatib and David C. Rine, 158-173. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-418-7.ch011

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Abstract

Object replication is a well-known technique to improve performance of a distributed Web server system. This paper first presents an algorithm to group correlated Web objects that are most likely to be requested by a given client in a single session so that they can be replicated together, preferably, on the same server. A centralized object replication algorithm is then proposed to replicate the object groups to a cluster of Web-server system in order to minimize the user perceived latency subject to certain constraints. Due to dynamic nature of the Web contents and users’ access patterns, a distributed object replication algorithm is also proposed where each site locally replicates the object groups based on the local access patterns. The performance of the proposed algorithms is compared with three well-known algorithms and the results are reported. The results demonstrate the superiority of the proposed algorithms.

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