A load-balancing approach based on modified K-ELM and NSGA-II in a heterogeneous cloud environment

Liu, Q, Cai, W, Shen, J, Jin, D and Linge, N 2016, 'A load-balancing approach based on modified K-ELM and NSGA-II in a heterogeneous cloud environment' , in: 2016 IEEE International Conference on Consumer Electronics (ICCE) , IEEE, pp. 411-412.

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Abstract

MapReduce is a popular programming model widely used in distributed systems. With regard to large-scale applications, e.g. home energy management in a city, online social community etc., load-balancing becomes critical affecting the performance of distributed computing. Present proposed load-balancing approaches in MapReduce aim at optimizing task execution time, whereas disk space is not considered. In this paper, a new scheme which consists of modified K-ELM and NSGA-II is proposed. Corresponding experiment results have shown that our method can assign tasks evenly, and effectively improve the performance of a cloud system.

Item Type: Book Section
Schools: Schools > School of Computing, Science and Engineering
Publisher: IEEE
ISBN: 9781467383646
Depositing User: WM Taylor
Date Deposited: 15 Dec 2016 12:55
Last Modified: 15 Dec 2016 12:55
URI: http://usir.salford.ac.uk/id/eprint/41028

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