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Evaluation of Internal Delay Inference in Queuing Networks

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dc.contributor.advisor Mark, Brian L
dc.contributor.author Stoner, David E
dc.creator Stoner, David E
dc.date 2016-04-29
dc.date.accessioned 2016-10-09T14:46:53Z
dc.date.available 2016-10-09T14:46:53Z
dc.identifier.uri http://hdl.handle.net/1920/10487
dc.description.abstract Statistical inference of internal computer network characteristics using only externally made measurements is extremely useful in the analysis of highly complex networks. This the- sis seeks to implement and test an expectation-maximization (EM) algorithm that uses these observations to estimate total end-to-end network delay density, link delay density and prob- ability of route selection. The EM algorithm in question was tested using source/destination delays generated from a custom queuing network simulator. The parameters of the queuing network were varied in order to determine the e ectiveness of the algorithm on Jackson-type networks as well as more realistic networks. The subsequent results of the algorithm are compared against the actual network simulation data to evaluate the performance of the algorithm. en_US
dc.language.iso en en_US
dc.subject Bivariate Markov chain en_US
dc.subject EM algorithm en_US
dc.subject queuing network en_US
dc.subject Python en_US
dc.title Evaluation of Internal Delay Inference in Queuing Networks en_US
dc.type Thesis en_US
thesis.degree.name Master of Science in Electrical Engineering en_US
thesis.degree.level Master's en_US
thesis.degree.discipline Electrical Engineering en_US
thesis.degree.grantor George Mason University en_US


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