A Genetic Algorithm (GA) based Load Balancing Strategy for Cloud Computing

Author:

Dasgupta Kousik,Mandal Brototi,Dutta Paramartha,Mandal Jyotsna Kumar,Dam Santanu

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference10 articles.

1. Rajkumar Buyya, James Broberg and Andrzej Goscinski CLOUD COMPUTING Principles and Paradigms, Jhon Wiley & Sons, 2011.

2. M. D. Dikaiakos, G. Pallis, D. Katsa, P. Mehra, and A. Vakali, “Cloud Computing: Distributed Internet Computing for IT and Scientific Research”, in Proc. of IEEE Journal of Internet Computing, Vol. 13, No. 5, pp. 10-13, 2009.

3. A. Vouk, “Cloud computing- issues, research and implementations”, in Proc. of Information Technology Interfaces, pp. 31-40, 2008.

4. T. R. Armstrong, D. Hensgen, “The relative performance of various mapping algorithms is independent of sizable variances in runtime predic- tions”, in Proc. of 7th IEEE Heterogeneous Computing Workshop (HCW 98), pp. 79-87,1998.

5. Yang Xu, Lei Wu, Liying Guo, Zheng Chen,Lai Yang, Zhongzhi Shi, “An Intelligent Load Balancing Algorithm Towards Efficient Cloud Computing”, in Proc. of AI for Data Center Management and Cloud Computing: Papers, from the 2011 AAAI Workshop (WS-11-08), pp. 27-32, 2008.

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