Call of Papers for Current Volume ********************OnLine Paper Submission for Current Volume

Volume & Issue no: Volume 3, Issue 4, July - August 2014

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Title:
FaceTube: Efficient Video on Demand Technique in Online Social Networks
Author Name:
James Karunakar G, Ganesh D
Abstract:
Abstract Video sharing has gained popularity as an application in online social networks (OSNs). But, because of the limitations posed by the client/server architecture present in the OSN Video systems, its development has been impeded. The main limitations are the costs of server bandwidth, storage and the increasing number of online users and video content. The peer-assisted Videoon- Demand (VoD) technique, has recently been proposed, through which, online peers help the server in the obtaining and delivery of online content. However, videos can only be shared with friends in OSNs. Hence, present VoD works that use the technique of clustering nodes with similar interests or nearby location for better performance are not optimal, if not entirely inapplicable, in OSNs. Based on a real-world measurement over a long period of time of nearly 1,000,000 users and 2,500 videos on Facebook, we propose FaceTube, a new peer-assisted video sharing system that researches social relationship, similarity in interest, and physical proximity between different peers in OSNs. Particularly, FaceTube uses four algorithms: an online social network (OSN)-based Peer-to-peer overlay construction algorithm, an OSN-based chunk pre fetching algorithm, chunk scheduling and delivery algorithm, and an algorithm for buffer management. Experimental results from a prototype on PlanetLab and simulation results show that FaceTube would improve the quality of user experience and system scalability over current P2P VoD techniques. Key words: On-line social networks, Video-on-demand (VoD), Peer-to-peer assisted VoD, Peer-to-peer networks by commas.
Cite this article:
James Karunakar G, Ganesh D , " FaceTube: Efficient Video on Demand Technique in Online Social Networks" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 3, Issue 4, July - August 2014 , pp. 269-273 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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