Graduate Thesis Or Dissertation

 

Hybrid, Proactive In-Network Caching for Mobile On-Demand Video Streaming Public Deposited

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/ww72bh10r

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  • Mobile video streaming has become an essential application in mobile wireless networks,making up most of the mobile data of today’s Internet traffic. Studies have shown thatmobile video data is projected to make up about 78 percent of the global mobile datatraffic, and that global mobile data traffic is expected to increase sevenfold by 2021.Massive small cell base station (SBS) deployments have emerged as a potential solutionpromising to fulfill these unprecedented mobile data demands, by offering great coverageenhancements and maintaining high quality of video streaming. However, due torelatively small cell sizes and high user mobility, mobile video streaming in dense SBSnetworks faces fundamental challenges such as intermittent connectivity and frequenthandoffs, causing degradation in video streaming quality. In this thesis, we tackle thisissue by introducing a hybrid proactive in-network caching framework that stores somepopular videos at the edge of the network, namely at the SBSs, while also pre-cachingvideo contents in advance to better service mobile users. The proposed framework essentially reduces the need for bringing every requested video from the core (original)network, which results in alleviating network congestion by reducing back-haul trafficand in improving mobile video streaming experience by avoiding service discontinuityduring handoffs. We develop a simulation framework using MATLAB to study theperformance of the proposed hybrid proactive caching technique, and show using simulations that the proposed technique can effectively improve video quality of experienceand reduce back-haul traffic.
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  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2017-09-08T17:03:48Z (GMT) No. of bitstreams: 2license_rdf: 1232 bytes, checksum: bb87e2fb4674c76d0d2e9ed07fbb9c86 (MD5)RagdaAbuhadra2017.pdf: 310680 bytes, checksum: 3dc1b5964b744198711e9fc2d9860d78 (MD5)
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  • description.provenance : Submitted by Ragda Abuhadra (abuhadrr@oregonstate.edu) on 2017-09-07T23:23:44ZNo. of bitstreams: 2license_rdf: 1232 bytes, checksum: bb87e2fb4674c76d0d2e9ed07fbb9c86 (MD5)RagdaAbuhadra2017.pdf: 310680 bytes, checksum: 3dc1b5964b744198711e9fc2d9860d78 (MD5)

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