Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.14146/6053
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dc.date.accessioned2018-08-30T09:23:27Z-
dc.date.available2018-08-30T09:23:27Z-
dc.date.issued2018-08-30-
dc.identifier.urihttp://hdl.handle.net/20.500.14146/6053-
dc.description.abstractMobile computing systems are different from fixed distributed system owing newlineto its non-functional properties of the system which are related to the mobility. The newlinefactors that define a mobile computing system are: application, middleware, newlineoperating system (OS), mobile terminal, and mobile communication system. Quality newlineof service (QoS) in mobile computing systems is therefore the combination of QoS newlinecharacteristics and QoS mechanisms across the system. Quality of service is the newlineability to provide different priority to different applications, users, or data flows, or newlineto guarantee a certain level of performance to a data flow. For presenting a general newlineQoS framework, modeling is defined using Quality of service modeling language newline(QML) in Mobile Computing Environment which is based on combinations and newlineextension of existing QoS frameworks. QML is designed to support QoS newlinecharacteristics such as reliability, performance, security, and timing. newlineNetwork designing techniques are complicated and quite complex. The QML newlinecan help in reducing the network design complexity. QML is widely used modeling newlinelanguage in the development processes. It is quite adapted for the specification of newlinenon-functional aspect such as QoS. The overall aim of this research is to perform newlinemodeling of the QoS in mobile computing environment using modeling languages newlineQML and analyzing QoS parameters using of tools. It will add to QML the ability to newlinespecify and handle the QoS that will be used in the mobile computing environment.A new technique of improving the congestion control and security of the newlineMANET has been devised. QoS performance of the same has been evaluated using newlinethe various parameters of the network system measurement. After this modification, newlineit is observed that the performance of the protocol is improved.The analysis and newlinemeasurements of the QoS parameters using tools (e.g. NS-2) is done, and then a newlinecomparison between the Design times QoS parameters to Actual parameters is newlineperformed.en_US
dc.languageEnglishen_US
dc.rightsuniversityen_US
dc.titleQoS Modeling and Analysis using QML in Mobile Computing Environmenten_US
dc.title.alternativeen_US
dc.creator.researcherGurwinder Pal Kauren_US
dc.subject.keywordQoS, QML, MANET, UML, CORBA,UMTSen_US
dc.description.noteen_US
dc.contributor.guideDr. Kavitaen_US
dc.publisher.placeJaipuren_US
dc.publisher.universityJayoti Vidyapeeth Women s Universityen_US
dc.publisher.institutionDepartment of Electrical Electronics and Communication Engineeringen_US
dc.date.registered02/11/2010en_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Department of Electrical Electronics and Communication Engineering

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