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作 者:周兵[1] ZHOU Bing(Xinlian College,Henan Normal University,Henan Zhengzhou 450000,China)
机构地区:[1]河南师范大学新联学院
出 处:《计算机仿真》2019年第9期479-482,487,共5页Computer Simulation
基 金:河南省高等学校重点科研项目(16A110015)
摘 要:采用传统的方法进行网络资源调度时,难以确定网络切片资源调度指标的权重,存在调度精度低、运行时间较长和资源丢包率较高等问题。为解决上述问题,提出基于概率模型的网络切片资源优先度调度方法,采用贝叶斯网络表示概率模型图,根据模型图得到模型观测变量、部分变量以及变量的后验分布。并在上述基础上,创建概率模型,根据概率模型计算出网络切片资源优先度。利用调度方法对任务集优先度进行调度。仿真结果证明,所提方法资源丢包率较低,调度效率较高,为更好地提升网络工作效率提供了较大的帮助。In traditional method,it is difficult to determine the weight of network slice resource scheduling index during the network resource scheduling.The scheduling precision is low,the running time is long and packet loss rate is high.Therefore,a scheduling method of network slicing resource priority based on probabilistic model was proposed.Firstly,Bayesian network was used to represent the probability model diagram.According to the model diagram,the posterior distribution of observed variables,partial variables and variables was obtained.On this basis,the probability model was built.According to the probability model,the resource priority of network slice resource was calculated.Finally,the priority of task set was scheduled by the scheduling method.Simulation results show that the proposed method has lower resource packet loss rate and higher scheduling efficiency,which provides a great help for improving the network work efficiency.
分 类 号:TN911.73[电子电信—通信与信息系统]
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