Statistical aspects of the analysis of data networks

被引:12
|
作者
Denby, Lorraine [1 ]
Landwehr, James M.
Mallows, Colin L.
Meloche, Jean
Tuck, John
Xi, Bowei
Michailidis, George
Nair, Vijayan N.
机构
[1] Avaya Labs, Data Anal Res, Basking Ridge, NJ 07920 USA
[2] Purdue Univ, Dept Stat, W Lafayette, IN 47907 USA
[3] Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA
基金
美国国家科学基金会;
关键词
internet telephony; network monitoring; network tomography; network visualization; probe packet; traceroute data; voice-over-IP;
D O I
10.1198/004017007000000290
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Assessing and monitoring the performance of computer and communications networks is an important problem for network engineers. A considerable amount of work has been done on tools and techniques for data collection, modeling, and analysis within the network research community. This article presents an overview of the engineering problems and statistical issues, describes recent research developments, and summarizes ongoing work and areas for further research. Although there are many interesting issues related to network analysis, our focus here is on estimating and monitoring network quality-of-service parameters. We discuss methods for estimating edge-level parameters from end-to-end path-level measurements, an important engineering problem that raises interesting statistical modeling issues. Other topics include network monitoring, network visualization, and discovery of network topology. Data from a corporate network are used to illustrate the problems and techniques. As in any overview, the discussion is likely to be slanted toward the authors' own research interests.
引用
收藏
页码:318 / 334
页数:17
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