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Title: OPTIMISATION OF TASKS USING GENETIC ALGORITHM IN MOBILE CLOUD COMPUTING

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Title:
OPTIMISATION OF TASKS USING GENETIC ALGORITHM IN MOBILE CLOUD COMPUTING
Author Name:
Neha Gupta
Abstract:
This paper considers a cloud based mobile computing system consisting of virtual machines (as resources), cloudlets (as requests) and broker, where the broker assigns user cloudlet requests to virtual machines to be processed by the servers. It has been a great challenge to design and build an effective load balancing algorithm for the broker which spreads the service request load on virtual machines while utilizing the resources to the maximum. In this paper, a scheduling model to balance the load based on maximum resource utilization rate using genetic algorithm for scheduling requests is proposed where the computing capacity of a datacenter is divided into different tiers. Simulation results shows that the proposed work can effectively cope with the load imbalance problem in mobile cloud computing.
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