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云计算下深空通信网络的能耗感知调度方法研究
引用本文:朱发财. 云计算下深空通信网络的能耗感知调度方法研究[J]. 科学技术与工程, 2017, 17(36)
作者姓名:朱发财
作者单位:福州理工学院工学院
基金项目:1.LTE核心网业务模型分析及解决方案研究,编号:JA15601; 2.云计算在业务网部署中的持续研究,编号:JB13373
摘    要:云计算下深空通信网络中,通常同时要求低能耗和低反应时间,当前调度方法一般无法同时满足上述两种条件,导致调度性能不佳。为此,提出一种新的云计算下深空通信网络的能耗感知调度方法,将云计算系统抽象地表示成一个四元组,给出云计算平台拓扑图,介绍了云计算系统的能耗感知模型。将能耗感知理论引入min-min任务调度方法,依据深空通信网络对任务截止时间要求的满足程度,优先选择任务队列中的最短任务,将其分配至能耗最小的服务器上执行,求出该任务在各服务器上的执行能耗,通过完成时间是否满足截止时间要求判断是否结束调度。给出基于能耗感知的最早完成时间任务调度方法的详细实现过程。实验结果表明,所提方法能耗低,时间跨度优。

关 键 词:云计算  深空通信网络  能耗感知  调度
收稿时间:2017-05-15
修稿时间:2017-07-25

Research on energy aware scheduling method for deep space communication network based on Cloud Computing
ZHU Facai. Research on energy aware scheduling method for deep space communication network based on Cloud Computing[J]. Science Technology and Engineering, 2017, 17(36)
Authors:ZHU Facai
Affiliation:Institute of Technology,Fuzhou Institute of Technology
Abstract:Under the cloud computing, the deep space communication network usually requires low energy consumption and low response time. The current scheduling method can not meet the above two conditions, which leads to poor scheduling performance. Therefore, the energy aware scheduling method in deep space communication network computing a new cloud, cloud computing system abstract representation into a four tuple, cloud computing platform topology, introduces the energy aware model of cloud computing system. The theory of Min-min into energy aware task scheduling method, through deep space communication network to meet the deadline time degree requirements, select the shortest task in the queue, the server will perform its assigned to the minimum energy consumption, energy consumption for execution of this task in the server, the completion time meets the deadline to determine whether the end scheduling requirements. This paper presents the detailed implementation process of the earliest completion time task scheduling based on energy aware. The experimental results show that the proposed method has low energy consumption and good time span.
Keywords:cloud computing   deep space communication network   energy aware   scheduling
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