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Task scheduling algorithm based on resources pre-sorting in cloud computing

机译:基于云计算预先排序的基于资源的任务调度算法

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The method that classified the resource according to the task preferences can take some benefits; different tasks can be completed in different resource pooling. So that it has narrowed the scope of resource selection. Simulation results show that the algorithm compared with other algorithms have improved in the task completion time and resource utilization aspects. With the development of cloud computing, resources in cloud system become more and more. In order to find the appropriate resources better and faster to complete the task as soon as possible, we present a method of pre-sorting to classify resources.
机译:根据任务偏好分类资源的方法可以采取一些好处;可以在不同的资源池中完成不同的任务。这样它已经缩小了资源选择的范围。仿真结果表明,与其他算法相比,算法在任务完成时间和资源利用方面有所改善。随着云计算的发展,云系统中的资源越来越多。为了更好地找到适当的资源并尽快完成任务,我们提出了一种预先排序以对资源进行分类的方法。

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