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    FormatThesis (3)SubjectStreaming video (3)Dissertation -- University of Missouri--Kansas City -- Computer science (2)Computer networks -- Design (1)Hadoop (Computer program) (1)Internet videos (1)... View MoreDate Issued2017 (2)2015 (1)Author/ContributorMedhi, Deepankar (3)Juluri, Parikshit (1)Swamy, Deepthi Basavapatna Narayana (1)Zhao, Shuai (1)Advisor
    Medhi, Deepankar (3)
    Thesis DepartmentComputer Science (UMKC) (1)Electrical Engineering (UMKC) (1)Telecommunications and Computer Networking (UMKC) (1)Telecommunications and Computer Networking and Electrical and Computer Engineering (UMKC) (1)

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    Study of QoE for DASH at Sub-representational Level 

    Swamy, Deepthi Basavapatna Narayana (University of Missouri--Kansas City, 2017)
    Dynamic Adaptive Streaming over HTTP has become the most commonly used technology in video streaming. It enables the player to adapt to the bitrate of the video while streaming to ensure continuous playback. DASH ...

    Measurement And Improvement of Quality-of-Experience For Online Video Streaming Services 

    Juluri, Parikshit (2015)
    HTTP based online video streaming services have been consistently dominating the online traffic for the past few years. Measuring and improving the performance of these services is an important challenge. Traditional ...

    Application-Aware Network Design Using Software Defined Networking for Application Performance Optimization for Big Data and Video Streaming 

    Zhao, Shuai (University of Missouri--Kansas City, 2017)
    This dissertation investigates improvement in application performance. For applications, we consider two classes: Hadoop MapReduce and video streaming. The Hadoop MapReduce (M/R) framework has become the de facto standard ...

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