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Performance comparison of cloudlet scheduling policies

Cloud computing is widely accepted as the best computing and storage model for low cost and high resource utilization. User requests from public can be run in data centers of large datacenters whey they are idle. This brings in high profit for cloud providers and low cost for cloud users. The profit and response time can be improved by an optimal scheduling policy. This paper does a survey on various classes of existing cloudlet scheduling algorithms. Researchers have proposed linear algorithms, genetic algorithms and swarm intelligence algorithms. The merits and demerits of these classes of algorithms are analyzed in this paper.