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

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

Md. S. Q. Zulkar Nine, Abul Kalam Azad, Saad Abdullah, Rashedur M. Rahman
Copyright: © 2017 |Pages: 23
ISBN13: 9781522519089|ISBN10: 1522519084|EISBN13: 9781522519096
DOI: 10.4018/978-1-5225-1908-9.ch067
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MLA

Nine, Md. S. Q. Zulkar, et al. "Fuzzy Dynamic Load Balancing in Virtualized Data Centers of SaaS Cloud Provider." Fuzzy Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2017, pp. 1643-1665. https://doi.org/10.4018/978-1-5225-1908-9.ch067

APA

Nine, M. S., Azad, A. K., Abdullah, S., & Rahman, R. M. (2017). Fuzzy Dynamic Load Balancing in Virtualized Data Centers of SaaS Cloud Provider. In I. Management Association (Ed.), Fuzzy Systems: Concepts, Methodologies, Tools, and Applications (pp. 1643-1665). IGI Global. https://doi.org/10.4018/978-1-5225-1908-9.ch067

Chicago

Nine, Md. S. Q. Zulkar, et al. "Fuzzy Dynamic Load Balancing in Virtualized Data Centers of SaaS Cloud Provider." In Fuzzy Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1643-1665. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1908-9.ch067

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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.

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