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云计算下的光纤激光网络中任务呈现无序性,导致无法实现调度过程最优,造成能耗较高。为此提出一种基于虚拟任务调度的光纤激光网络任务调度方法,并应用到云计算环境中,通过对任务优先级进行优化设计,添加合理约束条件,避免陷入无解缺陷。通过设计模糊K均值聚类方法,以达到对任务优先级进行排序的目的,避免单一阀值优先级的缺陷。实验结果表明:该方法能够合理化的调度激光网络任务,降低能耗。
The task of optical fiber laser network under the cloud computing presents the disorder, which leads to the problem that the scheduling process can not be optimized and the energy consumption is high. Therefore, a task scheduling method based on virtual task scheduling for fiber laser networks is proposed and applied to the cloud computing environment. By optimizing the priority of tasks and adding reasonable constraints, it can avoid falling into no-defect. Through the design of fuzzy K means clustering method, in order to achieve the purpose of sorting tasks priority, to avoid the single threshold priority defects. The experimental results show that this method can rationalize the task of laser network scheduling and reduce energy consumption.