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dc.contributor.advisorFarago, Andras
dc.creatorAskarian, Ahmad
dc.date.accessioned2017-06-26T12:53:27Z
dc.date.available2017-06-26T12:53:27Z
dc.date.created2017-05
dc.date.issued2017-05
dc.date.submittedMay 2017
dc.identifier.urihttp://hdl.handle.net/10735.1/5445
dc.description.abstractTraffic engineering (TE) helps to use network resources more efficiently. Network operators use TE to obtain different objectives such as load balancing, congestion avoidance and average delay reduction. We approach the issue using optimization theory and a network design game model. Also routing methods for optimal distribution of traffic in data networks that can also provide quality of service (QoS) for users is one of the challenges in recent years’ research on next generation networks. The major QoS requirement in most cases is an upper bound on end-to-end path delay. In this dissertation, we address the problem of parallelizing some network algorithms on a practical distributed memory system. Also we use approximation approach for analyzing NP hard problems in networks.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.rightsCopyright ©2017 is held by the author. Digital access to this material is made possible by the Eugene McDermott Library. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
dc.subjectQuality of service (Computer networks)
dc.subjectMathematical optimization
dc.subjectTraffic engineering
dc.subjectTraffic congestion—Management
dc.subjectLarge scale systems
dc.subjectAutonomous distributed systems
dc.titleTraffic and Topology Engineering in Networks: Algorithms, Models and Optimization
dc.typeDissertation
dc.date.updated2017-06-26T12:53:27Z
dc.type.materialtext
thesis.degree.grantorUniversity of Texas at Dallas
thesis.degree.departmentTelecommunications Engineering
thesis.degree.levelDoctoral
thesis.degree.namePHD


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