Bayesian Tomography for Data Routing Networks

• Main Authors: Yu-wei Lai, 賴昱瑋
• Other Authors: Ying-chao Hung
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/68741261763516157873

碩士 === 國立中央大學 === 統計研究所 === 97 === Assessing and monitoring the performance of computer and communications networks is an important problem for network engineers. We consider a tree-type of data routing network model, and it has a broad application in real life (public telephone switches, call centers, etc.). Our focus here is on estimating and monitoring network Quality-of-Service (QoS) parameters. The QoS of a network can usually be measured by some system performance such as job delay or job loss rate. In this article , We propose a Bayesian method for detect(or,say,estimate) the job loss rate of edge level parameters from end-to-end path-level measurements, an important engineering problem that raises interesting statistical modeling issues. Further, we introduce how we can use the estimated job loss rate to choose an optimal dynamic flow control policy.