Yazılım tanımlamalı ağlar üzerine çoklu betimlenmiş video çoğa gönderim akışı
2014
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Advisor: Assoc. Prof. Dr. Mehmet Oğuz Sunay
Abstract (EN)
Video has become one of the most prominent applications of the Internet. Many of the video streaming applications involve the distribution of content from a CDN source to a large population of interested clients. However, widespread support of IP-Multicast has been unavailable to a large extent due to technical and economical reasons, all stemming from the non-programmable nature of today's Internet. As a solution, streaming multicast video is commonly operated using application level multicast. However, this technique introduces excessive delays for the clients and increased traffic load for the network. This thesis is concerned with the introduction of a SDN based framework that allows the network controller to not only deploy IP-Multicast between a source and subscribers, but also control, via a simple northbound interface, the distributed set of sources where multiple-description coded video content is available. Standard and premium users are envisioned. While standard subscribers are to receive one of the descriptions of the video, premium subscribers will receive multiple descriptions, each from a different source, simultaneously and combine these descriptions prior to playback for increased video quality. In the framework, the controller constructs and maintains a dynamic multicast tree from each source and formulates the associated multicast routes. An experimental testbed has been setup on Mininet to assess the performance of the SDN-based streaming multicast video application using QoS performance metrics on a well-known test videos. We observe that for medium to heavily loaded networks, relative to todays solution of application layer multicast in a non-SDN network, the SDN-based streaming multicast video framework increases the PSNR of the received video significantly, from a level that is practically unwatchable to one that has good quality.
Author
Dr. Kyoomars Alizadeh Noghani
Institution
How to Cite
Kyoomars Alizadeh Noghani (Master Thesis). Yazılım tanımlamalı ağlar üzerine çoklu betimlenmiş video çoğa gönderim akışı, 2014, Özyegin University.
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