网络链路性能参数估计的层析成像方法综述  

Survey on Network Tomography for Link Performance Parameter Evaluation

作　　者：潘胜利[1] 张志勇[1] 费高雷[1] 钱峰[1] 胡光岷[1] 

机构地区：[1]宽带光纤传输与通信网技术教育部重点实验室(电子科技大学),四川成都611731

出　　处：《软件学报》2015年第9期2356-2372,共17页Journal of Software

基　　金：国家自然科学基金(61171091;61201127;61301274);中央高校基本业务费专项基金(ZYGX2012J005;E022050205);保密通信重点实验室基金(9140C110503140C11054)

摘　　要：网络层析成像能够在网络内部节点不提供测量协作的情况下,根据端到端的测量结果,间接地估计网络内部链路性能参数,是一种重要的网络测量手段,能直接指导网络管理和网络优化,目前受到国内外学术界和工业界广泛的关注.在广泛收集国内外资料的基础上,首先总结了目前网络层析成像使用的主要端到端测量方法和技术;再根据不同参数对链路性能刻画程度的不同,将链路性能参数的网络层析成像方法分为两类:定量参数推断方法和定性参数推断方法;然后,针对不同类型参数的估计问题,概括分析了现有算法的特点;最后指出该类方法未来的研究方向与潜在的应用前景.Network tomography provides the ability to employ the end-to-end measurements to infer the network-internal link performance parameters indirectly without requiring cooperation from the intermediate elements of the network. As a significant alternative to network measurements to be able to guide the network management as well as the network optimization, network tomography receives a plenty of attention both in academia and industry. This survey is based on an extensive collection and reference of research works at home and abroad. First, the measurement schemes exploited by the network tomography are summarized. Next, the corresponding tomographic approaches are divided into two classes regarding at what granularity they describe the link＇s performance： the quantitative parameter estimation and the qualitative parameter estimation. Then according to inference problems of the different parameters, a general analysis of the existing algorithms is conducted. Lastly, future research areas and potential applications are suggested.

关 键 词：逆问题 网络层析成像 链路性能评价 端到端测量 相关性 可辨识性 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]