基于改进布谷鸟搜索算法的云计算任务调度

摘要

针对云计算系统中能否高效地调度子任务的问题，本文提出了一种基于改进布谷鸟搜索算法的任务调度算法。利用柯西分布对陷入局部极值的鸟巢进行扰动，有利于提高布谷鸟搜索算法全局搜索的质量。算法运用整数编码方式，利用改进后的算法求得最优解。使用云仿真平台进行验证，结果证实了所提出算法的有效性。%In the view of efficient task scheduling , the researchers propose an improved cuckoo search based on the introduction of the variability of Cauchy operator , which is helpful in improving the global search and speeding up the convergence of algorithm , for addressing the problem of task scheduling and improving the global searching quality of the cuckoo search algorithm .The study uses an improved algo-rithm of integer encoding structure to get optimal solutions .The experimental results based on CloudSim platform show that the algorithm can significantly improve the effectiveness and efficiency .