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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151837
Doc. No : ET23629
Main Entry : Michael G. Rabbat
Title Proper : Multiple Source Network Tomography
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Assessing and predicting internal network performance is of fundamental importance in prob-lems ranging from routing optimization to anomaly detection. The problem of estimating internalnetwork structure and link-level performance from end-to-end measurements is called network to-mography. This thesis investigates the general network tomography problem involving multiplesources and receivers, building on existing single source techniques. Using multiple sources poten-tially provides a more accurate and refined characterization of the internal network. The generalnetwork tomography problem is decomposed into a set of smaller components, each involving justtwo sources and two receivers. A novel measurement procedure is proposed which utilizes a packetarrival order metric to classify two-source, two-receiver topologies according to their associatedmodel-order. Then a decision-theoretic framework is developed, enabling the joint characterizationof topology and internal performance. A statistical test is designed which provides a quantificationof the tradeoff between network topology complexity and network performance estimation..........-....,....-...,..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 : TL46873.pdf
Title and statement of responsibility and : Multiple Source Network Tomography [Thesis]
 
 
 
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