Sheeja S. Manakattu
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.
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Digital Library
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Index Terms
- An improved biased random sampling algorithm for load balancing in cloud based systems
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