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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151189
Doc. No : ET22981
Main Entry : Yau-Yau Yolanda Tsang
Title Proper : Loss Inference in Unicast Network Tomography Based on TCP Traffic Monitoring
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Network tomography is a promising technique for characterizing the internal behav-ior of large-scale networks based solely on end-to-end measurements. Despite theefficiency of active probing in most network loss tomography methods, these mea-surements impose an additional burden on the network in terms of bandwidth andnetwork resources. They can therefore cause the estimated performance parame-ters to differ substantially from losses suffered by existing TCP traffic flows. In thisthesis, we propose a promising passive measurement framework based on the sarn-pling of existing TCP flows. We demonstrate its performance using extensive ns-2simulations. We observe accurate estimates of link losses (with 2 mean absoluteerror). We also describe the Expectation-Maximization (EM) algorithm in solvingthe Maximum Likelihood (ML) Estimates-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46210.pdf
Title and statement of responsibility and : Loss Inference in Unicast Network Tomography Based on TCP Traffic Monitoring [Thesis]
 
 
 
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