摘要
数据中心资源分配问题一直以来都是国内外研究的热点问题。鉴于此,在包簇框架下提出一种包漂移策略。该策略首先利用“包簇”模型的分层思想降解虚拟机与服务器之间的映射复杂度,根据簇上资源负载,采用模糊C均值聚类方法(FCM)对其进行分区;然后根据最大相关性算法选择包加入待漂移队列,并设置该队列中包的处理优先级;最后依据漂移成本和资源匹配度构建概率模型为待漂移包挑选最佳的目标簇。在CloudSim仿真平台对文中包漂移策略进行实验仿真,结果表明该方案能有效提高数据中心服务质量和资源利用率,同时在降低能耗方面也有不错的表现。
Resource allocation in data centers has always been a hot issue at home and abroad.In view of this,a package drift strategy is proposed in the framework of packet cluster.Firstly,this strategy degrades the mapping complexity between virtual machines and servers by using the hierarchical idea of packet cluster.According to the resource load on the cluster,FCM method is used to partition the cluster.Then,according to the maximum correlation algorithm,packets are selected to join the queue to be drifted,and the processing priority of the queue is set.Finally,a probability model is constructed to select the best target cluster for the drift package according to the drift cost and resource matching degree.Experiments of the packet drift strategy on CloudSim simulation platform show that the proposed scheme can effectively improve the service quality and resource utilization of data centers,and also has good performance in reducing energy consumption.
作者
梁慈
陈世平
LIANG Ci;CHEN Shi-ping(School of Optical-electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;Information Office,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《计算机与现代化》
2019年第11期112-119,共8页
Computer and Modernization
基金
国家自然科学基金资助项目(61472256,61170277)
上海市一流学科建设项目(S1201YLXK)
上海理工大学科技发展基金资助项目(16KJFZ035,2017KJFZ033)
沪江基金资助项目(A14006)
关键词
云计算
包簇
模糊C均值
最大相关性
概率模型
包漂移
cloud computing
packet cluster
FCM
maximum correlation
probability model
packet drift
