A Fuzzy-Based Dynamic Load Decision Making Scheme in Cloud Computing

Yi Chun Chang; Yao Tien Wang

doi:10.4028/www.scientific.net/AMR.718-720.2191

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 718-720A Fuzzy-Based Dynamic Load Decision Making Scheme...

A Fuzzy-Based Dynamic Load Decision Making Scheme in Cloud Computing

Abstract:

In this paper, a fuzzy-based dynamic resource allocation scheme for load balancing in cloud computing (FDLB) is presented to growth of the service type and user number in the mobile networks of the higher performance is required in service provision and throughput. Besides, the estimation of workload is difficult and time consuming, and the result causes an unstable system and unnecessary message passing overhead. The structure of the FDLB is composed of the design the load distributed agent (LDA). It is observed that the FDLB exhibits better adaptability, robustness, and fault-tolerant capability, thus yielding better performances compared to other existing algorithms.

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Periodical:

Advanced Materials Research (Volumes 718-720)

Pages:

2191-2196

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.718-720.2191

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Online since:

July 2013

Authors:

Yi Chun Chang, Yao Tien Wang

Keywords:

Cloud Computing, Computational Intelligence, Fuzzy Controller, Load Balancing, Resource Allocation

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