Design and analysis of resource allocation models in mobile computing

dc.contributor.guideVidyart, D Pen_US
dc.coverage.spatialComputer Scienceen_US
dc.creator.researcherKhanbary, Lutfi Mohammed Omeren_US
dc.date.accessioned2014-01-06T05:09:44Z
dc.date.available2014-01-06T05:09:44Z
dc.date.awardedn.d.en_US
dc.date.completed2009en_US
dc.date.issued2014-01-06
dc.date.registeredn.d.en_US
dc.description.abstractThe combination of wireless communication infrastructure and portable computing newlinedevices has laid the foundation for a new network computing paradigm, called mobile newlinecomputing, which allows the users to access information and collaborate with others newlinewhile on the move. This new freedom of computing on movement does not come without newlinenew challenges. The mobile computing environment is constrained in many ways. newlineFurthermore, connectivity is frequently lost for variant periods of time. The difficulties newlineraised by the constraints are compounded by mobility that induces variability in the newlineavailability of both the communication and the computational resources. To add, the newlineservices required from such infrastructures become much more important when newlinecomputing is expected from such a mobile environment. newlineWireless mobile networks are typically characterized by the severe resource constraints, newlinesuch as bandwidth, buffer and the battery power. By the rapid fluctuations in the newlineavailability of these resources, it becomes difficult for the system to provide guaranteed newlineQuality of Service (QoS) at levels required by many distributed and collaborative newlineapplications. A proper management of the network resources can improve the newlineperformance of the network infrastructure. There are several research articles identifying newlinethe fundamental challenges in mobile computing. newlineMobile computing is the discipline in which the emphasis is over computation that newlineutilizes the available communication infrastructure. The limited frequency spectrum in newlinesuch infrastructure is divided into a finite number of wireless channels. An efficient newlineallocation of communication channels is critical for the performance of mobile cellular newlinenetwork as the bandwidth allotted is limited. In this thesis, channel has been considered newlineas one of the prime resources. The objective of channel allocation is to assign the newlinerequired number of channels to the cell such that optimal frequency spectrum utilization newlineis achieved and interference effects are minimized.en_US
dc.description.noteBibliography p.172-189en_US
dc.format.accompanyingmaterialNoneen_US
dc.format.dimensions-en_US
dc.format.extent189p.en_US
dc.identifier.urihttp://hdl.handle.net/10603/14634
dc.languageEnglishen_US
dc.publisher.institutionSchool of Computer and Systems Sciencesen_US
dc.publisher.placeDelhien_US
dc.publisher.universityJawaharlal Nehru Universityen_US
dc.relation-en_US
dc.rightsuniversityen_US
dc.source.inflibnetINFLIBNETen_US
dc.subject.keywordComputer Scienceen_US
dc.subject.keywordSystem Scienceen_US
dc.subject.keywordresource allocation modelsen_US
dc.subject.keywordmobile computingen_US
dc.titleDesign and analysis of resource allocation models in mobile computingen_US
dc.title.alternative-en_US
dc.type.degreePh.D.en_US

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