Web Cluster Load Balancing via Genetic-Fuzzy Based

Authors

  • Chin Weng Cheong Faculty of Information Technology, Multimedia University, 63100 Cyberjaya, Selangor Darul Ehsan, Malaysia
  • Lim Hui Lan Faculty of Information Technology, Multimedia University, 63100 Cyberjaya, Selangor Darul Ehsan, Malaysia

DOI:

https://doi.org/10.32890/jict2007.6.6

Keywords:

genetic algorithm, fuzzy set theory, generalized dimension exchange, fuzzy inference system, web cluster

Abstract

In this genetic-fuzzy based Generalized Dimension Exchange (GDE) method is proposed to uniformly distribute the unprecedented Web cluster workload. Fuzzy set theory is used to capture the vagueness of the workload during redistribution period. Fuzzy set theory is used to capture the vagueness of the workload during redistribution period. According to the experts’ subjective evaluations, a fuzzy inference system is established to aggregate the fuzzy web performance metrics into a so-called load-weight index which indicates the servers workload intensity. Based on the load-weight index, the genetic-fuzzy algorithm is applied to equally redistribute the workload among in the servers. Finally, a simulation of 20 load-weight indices in a topology of 3-cube form Web cluster is implemented to illustrate the functionality of the proposed method.

 

References

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Crovella, M., and Bestavros, A. (1995). Explaining World Wide Web Traffic Self-Similarity. Tech. Rep.BUCS-TR-95F-015, Voston University, CD Dept, Boston MA 02215. " Colajanni, M., Yu, P.S., & Dias, D.M.(1997). Scheduling Algorithms for Distributed Web Servers, Proceeding of. ICDCS’97 (pp. 169-176). Baltimore, MD. //ict.uum http

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Published

03-04-2007

Issue

Vol. 6 (2007): Journal of Information and Communication Technology (JICT) Vol. 6, 2007

Section

Articles

How to Cite

Cheong, C. W., & Lan, L. H. (2007). Web Cluster Load Balancing via Genetic-Fuzzy Based. Journal of Information and Communication Technology, 6, 73-86. https://doi.org/10.32890/jict2007.6.6

Research impact

Harvested 2026-09-06
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Identifiers DOI 10.32890/jict2007.6.6 OpenAlex W4377205458