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; Linge, N

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.

Citation

Liu, Q., Cai, W., Shen, J., Jin, D., & Linge, N. (2016, January). A load-balancing approach based on modified K-ELM and NSGA-II in a heterogeneous cloud environment. Presented at 2016 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA

• Presentation Conference Type: Other
• Conference Name: 2016 IEEE International Conference on Consumer Electronics (ICCE)
• Conference Location: Las Vegas, NV, USA
• Start Date: Jan 7, 2016
• End Date: Jan 11, 2016
• Online Publication Date: Mar 14, 2016
• Publication Date: Mar 10, 2016
• Deposit Date: Dec 15, 2016
• Book Title: 2016 IEEE International Conference on Consumer Electronics (ICCE)
• ISBN: 9781467383646
• DOI: https://doi.org/10.1109/ICCE.2016.7430670
• Publisher URL: http://dx.doi.org/10.1109/ICCE.2016.7430670
• Related Public URLs: http://www.icce.org/icce-2016/
• Additional Information: Event Type : Conference