云计算网络中边界节点识别方法改进研究  

Cloud Computing Network Improvement Study Method for Identifying Boundary Nodes

作　　者：朱亚东[1] 

机构地区：[1]江苏联合职业技术学院南京工程分院,南京211135

出　　处：《计算机测量与控制》2017年第1期167-169,172,共4页Computer Measurement &Control

基　　金：江苏省教育科学"十二五"规划课题(B-b/2015/03/067)

摘　　要：目前,云计算网络为人们的生产和生活提供了各种应用和服务,网络边界节点的识别问题一直较难解决;传统的网络中边界节点类型复杂,边界部署成本高,较多感知模型和静态场景难以实现;为此,提出一种改进的云计算网络中边界节点识别方法,通过制定边界部署规则确定边界节点部署数量及要求,对边界节点感知漏洞进行修补,保证边界节点对网络区域内的全覆盖识别,最后设计出云计算网络识别模型,实现了云计算网络中边界节点正确识别;仿真实验表明,提出的边界节点识别方法在稳定性、识别率和识别数量上都比传统方法有优越性,具有应用价值。Cloud computing network to people＇s production and life currently provides a variety of applications and services, network boundary node identification has been difficult to solve. Node type complex, in the traditional network boundary deployment cost is high, the more perception model and static scene is difficult to implement. Therefore, an improved cloud computing network, the method for identifying the boundary node deployment by setting rules of boundary nodes deployed number and requirements, to repair boundary nodes perception loopholes, guarantee a complete coverage of boundary nodes within the network area on recognition, cloud computing network model, the final design for cloud computing boundary nodes in a network to identify. The boundary nodes on the simulation results show that the proposed identification method on the stability, the number of recognition rate and recognition are better than the traditional method has the superiority, has practical value.

关 键 词：云计算 网络 边界节点 识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]