摘要
现有的云资源数据传输效率评估方法未进行聚类均衡控制,导致其评估能力较差,提出基于融合差分聚类均衡控制的云资源数据传输效率评估数学模型.首先,通过构建云资源数据传输效率评估的约束参量模型,采用统计特征分析方法进行统计信息采样和融合聚类分析.然后,结合自相关特征匹配的方法进行云资源数据传输的均衡调度和语义分割,以云资源数据传输效率的关联分布性为代价函数,根据信息采样结果实现传输效率的均衡调度控制,从而构建云资源数据传输效率评估数学模型.仿真结果表明,采用本文方法进行云资源数据传输效率评估具有较高的评估精度,其精度值普遍高于96%,且具有较高的收敛性.由此可见,本文方法的数据传输均衡配置能力较强.
Because the current method of efficiency evaluation of cloud resource data transmission does not have a clustering equilibrium control strategy,its evaluation ability is poor.A mathematical model for evaluating cloud resource data transmission efficiency based on fusion differential clustering equalization control is proposed.Statistical feature analysis methods for statistical information sampling and fusion cluster analysis are used to construct a constraint parameter model for cloud resource data transmission efficiency evaluation.Balanced scheduling and semantic segmentation of cloud resource data transmission is performed the method of autocorrelation feature.The associated distribution of cloud resource data transmission efficiency is the cost function.The balanced scheduling control of transmission efficiency is realized according to the information sampling result.A mathematical model for evaluating cloud resource data transmission efficiency is constructed.The simulation results show that the evaluation of cloud resource data transmission efficiency using this method has high evaluation accuracy and high convergence,and its accuracy is generally higher than 96%.It can be concluded that the data transmission balance configuration ability of this method is relatively strong.
作者
陈海燕
CHEN Haiyan(School of Network and Information Security,Jiangsu College of Safety Technology,Xuzhou Jiangsu 221011)
出处
《宁夏师范学院学报》
2021年第7期82-88,共7页
Journal of Ningxia Normal University
关键词
云资源数据
传输效率
效率评估
数学模型
融合差分聚类
Cloud resource data
Transmission efficiency
Efficiency evaluation
Mathematical model
Fusion differential clustering
