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Task scheduling of cloud computing based on Improved CHC algorithm

机译:基于改进CHC算法的云计算任务调度

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In recent years, research on task scheduling in cloud computing has become a hot topic. Task scheduling is a NP hard problem. As there is a great number of users in cloud computing, the amount of task and data processing is also very huge. With regard to cloud computing programming model, we proposed an Improved CHC algorithm, which inherits the advantages of standard genetic algorithm (SGA) and CHC algorithm. The Improved CHC algorithm takes comprehensive consideration of the allocation of resources to tasks and the completion time of tasks and it also enhances the convergence speed of the algorithm. The experimental results show that Improved CHC algorithm has good efficiency and convergence, the average and completion time of the task scheduling is relatively shorter.
机译:近年来,关于云计算中的任务调度的研究已成为热门话题。任务调度是一个NP难题。由于云计算中有大量用户,因此任务和数据处理量也非常庞大。关于云计算编程模型,我们提出了一种改进的CHC算法,该算法继承了标准遗传算法(SGA)和CHC算法的优点。改进的CHC算法综合考虑了任务的资源分配和任务的完成时间,提高了算法的收敛速度。实验结果表明,改进的CHC算法具有良好的效率和收敛性,任务调度的平均时间和完成时间相对较短。

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