An improved biased random sampling algorithm for load balancing in cloud based systems

Authors:
Sheeja S. Manakattu;S. D. Madhu Kumar
Affiliations:
National Institute of Technology, Calicut Calicut, India;National Institute of Technology, Calicut Calicut, India
Venue:
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Year:
2012

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Abstract

In cloud computing, load balancing is an important issue. We propose an improvement on random sampling algorithm for load balancing in cloud based systems. We have redesigned the Biased Random Sampling algorithm by making use of queue length and processing time as parameters for arriving at load balancing among competing nodes. Our experimental results show that the proposed algorithms perform better than the current Biased Random Sampling algorithm.