PatchPeer: A scalable video-on-demand streaming system in hybrid wireless mobile peer-to-peer networks

Video-on-demand service in wireless networks is one important step to achieving the goal of providing video services anywhere anytime. Typically, carrier mobile networks are used to deliver videos wirelessly. Since every video stream comes from the base station, regardless of what bandwidth sharing techniques are being utilized, the media stream system is still limited by the network capacity of the base station. The key to overcome the scalability issue is to exploit resources available at mobile clients in a peer-to-peer setting. We observe that it is common to have a carrier mobile network and a mobile peer-to-peer network co-exist in a wireless environment. A feature of such hybrid environment is that the former offers high availability assurance, while the latter presents an opportunistic use of resources available at mobile clients. Our proposed video-on-demand technique, PatchPeer, leverages this network characteristic to allow the video-on-demand system scale beyond the bandwidth capacity of the server. Mobile clients in PatchPeer are no longer passive receivers, but also active senders of video streams to other mobile clients. Our extensive performance study shows that PatchPeer can accept more clients than the current state-of-the-art technique, while maintaining the same Quality-of-Service to clients.

Fuyu LiuEmail:

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Tai T. Do   is a Ph.D. student in Computer Science at the University of Central Florida, working in the Data Systems Laboratory. He received a B.S. degree in Electrical Engineering from the University of Oklahoma in 2001. His main research interests are Distributed Systems and Databases (Peer-to-Peer Systems, Distributed Monitoring Queries), Communications and Networking (Video Delivery Techniques, Wireless Communication Protocols), Decision Support Systems (Real-time Route Diversion Systems), and Security and Privacy (Anonymity for Location-based Services). Tai T. Do is a recipient of the UCF Order of Pegasus, i.e. UCF Best Student Award, class of 2008. Kien A. Hua   received the B.S. degree in Computer Science, M.S. and Ph.D. degrees in Electrical Engineering, all from the University of Illinois at Urbana-Champaign, in 1982, 1984, and 1987, respectively. Form 1987 to 1990 he was with IBM Corporation. He joined the University of Central Florida in 1990, and is currently a professor in the School of Computer Science. Dr. Hua has published widely including several papers recognized as best papers at various international conferences. He has served as Conference Chair, Vice-Chair, Associate Chair, Demo Chair, and Program Committee Member for numerous ACM and IEEE conferences. Currently, he is on the editorial boards of Journal of Multimedia Tools and Applications and International Journal of Advanced Information Technology. Dr. Hua is an IEEE Fellow. Ning Jiang   received the Ph.D. degree in Computer Science from the University of Central Florida. Currently, he is working at the Office Lab at Microsoft Corp. His main research interests are Mobile computing, Data mining, and Network security. Fuyu Liu   is a Ph.D. student in Computer Science at the University of Central Florida, working in the Data Systems Laboratory. His main research interests are Distributed Systems and Databases (Distributed Monitoring Queries, Mobile COmputing), and Security and Privacy (Anonymity for Location-based Services).