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    LI Huan, YU Hui-qun. Task Scheduling Strategy Based on Evolutionary Algorithms in Cloud Computing[J]. Journal of East China University of Science and Technology, 2015, (4): 556-562.
    Citation: LI Huan, YU Hui-qun. Task Scheduling Strategy Based on Evolutionary Algorithms in Cloud Computing[J]. Journal of East China University of Science and Technology, 2015, (4): 556-562.

    Task Scheduling Strategy Based on Evolutionary Algorithms in Cloud Computing

    • Task scheduling is one of the key issues on the cloud computing, whose scheduling strategy and algorithm plays a direct effect on the performance and the cost of the cloud computing systems. By analyzing the particle swarm algorithm and the genetic algorithm, this paper proposes an evolutionary-strategy based PSO-CM algorithm to manage cloud tasks schedule. The proposed algorithm can improve the global convergence of PSO by introducing the crossover and mutation strategy of the genetic algorithm. The experiments on Matlab show that the proposed algorithm can achieve global convergence and is superior to the traditional scheduling algorithms in convergence speed and stability.
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