Please use this identifier to cite or link to this item: http://localhost:80/xmlui/handle/123456789/1017
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dc.contributor.authorWaheed, Muhammad Hamza Bin-
dc.date.accessioned2019-11-07T11:24:39Z-
dc.date.available2019-11-07T11:24:39Z-
dc.date.issued2019-01-01-
dc.identifier.urihttp://142.54.178.187:9060/xmlui/handle/123456789/1017-
dc.description.abstractThe world of technology is going through a rapid transformation, which directly impacts the life of internet users. Therefore every user may be connected to internet everywhere in near future, such type of communication demands high speed connectivity with internet that may provide data in very less response time. In addition, the demand of multimedia contents over IP network is growing exponentially with the growth of internet users. Despite of great reliability and well defined infrastructure for IP communication, Quality of Experience (QoE) for the users has remained main focus, while getting multimedia contents with flawless or smooth video streaming in less time with great availability. Failure in providing satisfactory QoE resulting in churning of the viewers. QoE depends upon various factors, such as those factors related to network infra-structure have significant effect on the perceive Quality. Moreover, Video content distribution have greater impact upon QoE, which can be improved by using specialized protocols that are responsible for video transmission over internet. Unlikely, HTTP also allows video distribution, caching and streaming. This research presents an architecture for multimedia distribution, caching and streaming by using off-the-shelf components for applications such as Video on Demand (VoD) and live streaming services. Moreover, discussion is carried out for the factors impacting QoE and their behavior is evaluated with QoE, the statistical data is taken from real architecture and analysis is made by using simulation tools and through real-time data, the response time and the throughput is also compared with the change of segment size in adaptive bit rate video streaming. Furthermore, video transmission is done by an adaptive bit rate mechanism over HLS standard. HTTP load balancing and DNS load balancing is also introduced to enhance QoE and to mitigate the challenge of single point of failure. The proposed architecture is validated and indulged as core component for video streaming in project “3GPPIMS compliant E2E Mobile IPTV solution for 4G/LTE Networks”en_US
dc.language.isoen_USen_US
dc.publisherDepartment of Electrical Engineering, Capital University of Science and Technology, Islamabaden_US
dc.subjectEngineering and Technologyen_US
dc.subjectAnalysisen_US
dc.subjectAdaptive Bit-rate Video Streaming Architectureen_US
dc.titleImplementation and Analysis of Adaptive Bit-rate Video Streaming Architectureen_US
dc.typeThesisen_US
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