网络测量部署模型及其优化算法  

Deploying Models and Optimization Algorithms of Network Measurement

作　　者：蔡志平[1] 刘芳[1] 赵文涛[1] 刘湘辉[1] 殷建平[1] 

机构地区：[1]国防科学技术大学计算机学院,湖南长沙410073

出　　处：《软件学报》2008年第2期419-431,共13页Journal of Software

基　　金：Supported by the National Natural Science Foundation of China under Grant Nos.60603062; 60373023 (国家自然科学基金);the National Basic Research Program of China under Grant No.2007CB310901 (国家重点基础研究发展计划(973));the Natural Science Foundation of Hu'nan Province of China under Grant No.06JJ3035 (湖南省自然科学基金)

摘　　要：ISP(Internet service providers)和企业部署网络监测系统以获取网络的性能数据,确保网络的安全性和连通性,最终加强和改善全局的网络性能.网络监测系统的设计和优化是目前的一个研究热点,其优化目标是最小化监测系统的部署代价和维护代价,并使得对网络的影响尽可能地小.根据测量方式和收集框架的不同,可以设计出不同的网络测量部署模型.这些模型的最优化问题通常是NP难的,一般采用整数规划、设计近似算法和映射到经典优化问题等方法来求取模型的优化解.总结了网络测量部署模型及其优化算法的研究现状,指出了该领域中需要进一步研究的热点问题.Network monitoring systems are deployed by Internet Service Providers （ISP） and enterprises to obtain network performance information and enhance the global network performance. A constant monitoring is also required to enforce and ensure both connectivity and security of the infrastructure. Designing and developing the infrastructure and optimization algorithms for network monitoring system have raised a great deal of interest recently. One of the key issues in this domain is to minimize the overhead in terms of deploying cost, maintenance cost and additional traffic. Due to different measurement approaches and polling infrastructure, there are many network measurement deploying models. Unfortunately, the optimization problems of these models are generally NP-hard. These optimization problems used to be solved by integer programming, designing approximation algorithms or mapping it to classic optimization problems. In this paper, the chief researches of network measurement deploying models and optimization algorithms in the world are introduced. Lastly, some open issues are presented to be further studied in the network measurement deploying models field.

关 键 词：网络测量 被动测量 主动测量 整数规划 近似算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]