A new approach for scheduling jobs in cloud computing environment

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Abstract. Job dscheduling in cloud computing environment is one of the most important issues that must be considered by cloud computing service providers. Optimal job scheduling enables more efficient utilization of resources, which in turn leads to more customers satisfaction. Solution procedures to the problem of job scheduling in cloud computing environment have mainly focused on optimizing one quality criterion. In this paper, we propose a static solution procedure for the scheduling of jobs in cloud computing environment which is based on particle swarm optimization technique (PSO). Considering the virtual machine capabilities and having secured an appropriate method for request assignments, this solution procedure not only reduces the amount of memory needed, but minimizes the maximum job's makespan. The simulation results show that our proposed method reduces the maximum job makespan by a larger amount when compared to the other PSO based methods.       


Processing in cloud environment, scheduling, Particle swarm optimization, Computational complexity

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