Sheeja S. Manakattu

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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(More)
Cloud Computing is a term which is generally used in reference to Internet. The whole Internet can be viewed as a cloud. The cloud is quickly changing a worldwide network of computers into the largest single, "virtual" computer in the world. This includes sharing of resources which increases the load on single machine. Thus the overall performance degrades(More)
Load balancing plays a vital role in Cloud computing to enhance throughput, optimize resource use and reduce response time. The main features to be considered while selecting a load balancing algorithm for cloud is the ability of the algorithm to address distributed network, dynamic environment and self-regulation. Biased random sampling is one such(More)
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