Date of Publication :25th April 2018

Abstract: Load balancer using Genetic Algorithm plays a crucial role in the performance of Intercloud platform. Resource allocation needs accurate and thoughtful precision in performance, as incoming applications could be impatient and erratic, resources will be limited and time constraint will be steep. Establishing trade off between demand and supply using available resources is tough. As the rate of arrival of application is sporadic, deadlines are stern and resources are restricted in Intercloud, it calls for an efficient resource allocation algorithm. Genetic Algorithm-based resource allocation shows better result than traditionally used FIFO. Decision variables considered are making span time and throughput.

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