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Fuzzy Dynamic Load Balancing in Virtualized Data Centers of SaaS Cloud Provider

Author

Listed:
  • Md. S. Q. Zulkar Nine

    (Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh)

  • Abul Kalam Azad

    (Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh)

  • Saad Abdullah

    (Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh)

  • Rashedur M. Rahman

    (Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh)

Abstract

Cloud computing provides a robust infrastructure that can facilitate computing power as a utility service. All the virtualized services are made available to end users in a pay-as-you-go basis. Serving user requests using distributed network of Virtualized Data Centers is a challenging task as response time increases significantly without a proper load balancing strategy. As the parameters involved in generating load in the Virtualized Data Center has imprecise effect on the overall load of Virtual Machine, a fuzzy load balancing strategy is required. This paper proposes two efficient fuzzy load balancing methods - Fuzzy Active Monitoring Load Balancer (FAM-LB) and Fuzzy Throttled Load Balancer (FT-LB) for the distributed SaaS cloud provider. The authors implemented a cloud model in simulation environment and compared the results of otheir novel approach with the existing techniques. Among them FT-LB has provided better performance compared to other scheduling algorithms.

Suggested Citation

  • Md. S. Q. Zulkar Nine & Abul Kalam Azad & Saad Abdullah & Rashedur M. Rahman, 2015. "Fuzzy Dynamic Load Balancing in Virtualized Data Centers of SaaS Cloud Provider," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 4(3), pages 50-71, July.
    • Handle: RePEc:igg:jfsa00:v:4:y:2015:i:3:p:50-71
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