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dc.contributor.authorPham, Andrew Minh-Quanen
dc.date.accessioned2014-07-24T08:00:40Zen
dc.date.available2014-07-24T08:00:40Zen
dc.date.issued2014-07-23en
dc.identifier.othervt_gsexam:3461en
dc.identifier.urihttp://hdl.handle.net/10919/49670en
dc.description.abstractLong Term Evolution (LTE) was designed to provide fast data rates to replace 3G service for mobile devices. As LTE networks and the user base for those networks grow, it becomes necessary for the resources used for those networks to be used as efficiently as possible. This thesis presents an implementation which utilizes an algorithm extended upon the Frank Kelly algorithm to determine resource allocation for UEs and shapes traffic for each UE to meet those allocation limits. The implementation's network represents what an LTE network would do to manage data rates for a UE through a distributed algorithm for rate allocation. The main focus of the implementation is on the UE, where traffic shaping limits application rates by an elastic or inelastic classification through the use of Hierarchical Token Bucket (HTB) queuing disciplines.en
dc.format.mediumETDen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjecttraffic shapingen
dc.subjectLTEen
dc.subjectmobile applicationsen
dc.subjectquality of serviceen
dc.subjectAndroiden
dc.titleAn Implementation of Utility-Based Traffic Shaping on Android Devicesen
dc.typeThesisen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.description.degreeMaster of Scienceen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelmastersen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineComputer Engineeringen
dc.contributor.committeechairClancy, Thomas Charles IIIen
dc.contributor.committeememberTront, Joseph G.en
dc.contributor.committeememberMcGwier, Robert W.en


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