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本文对云计算中资源调度进行了深入的研究,针对云计算的资源调度模型,提出一种基于和声算法和蝙蝠算法调度算法。在该求解方法中,通过改进蝙蝠的位置的平均响度,来减小的迭代次数。这一改进能够提供易于调节的蝙蝠算法离散优化问题,提高算法的收敛速度,缩短算法的运行时间。实现了蝙蝠算法对优化问题的处理结果。通过仿真实验表明,该算法是一种云计算环境下有效的任务调度算法。
In this paper, resource scheduling in cloud computing is studied in depth. A resource scheduling model based on cloud computing is proposed, which is based on harmony algorithm and bat algorithm scheduling algorithm. In this solution, the number of iterations is reduced by improving the average loudness of the bat’s position. This improvement can provide easy-to-adjust bat algorithm discrete optimization problems, improve the algorithm convergence speed, shorten the algorithm running time. Bats algorithm to solve the problem of optimization results. The simulation results show that this algorithm is an effective task scheduling algorithm in cloud computing environment.