Title
Scalable video-on-demand streaming in mobile wireless hybrid networks
Abstract
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 to 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-existing 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 videoon-demand technique, PatchPeer, leverages this network characteristic to allow the video-on-demand system to 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.
Year
DOI
Venue
2009
10.1109/ICC.2009.5199435
ICC
Keywords
Field
DocType
network capacity,hybrid network,mobile client,wireless network,mobile wireless,video service,bandwidth capacity,mobile peer-to-peer network,scalable video-on-demand,video stream,base station,carrier mobile network,network characteristic,wireless communication,wireless networks,quality of service,mobile network,availability,base stations,high availability,mobile communication,scalability,servers,ad hoc networks,bandwidth,bandwidth allocation
Mobile computing,Mobile technology,Mobile search,IMT Advanced,Mobile station,Computer science,Public land mobile network,Computer network,Mobile database,Mobile Web
Conference
ISSN
Citations 
PageRank 
1550-3607
1
0.35
References 
Authors
6
5
Name
Order
Citations
PageRank
Tai T. Do132018.00
Kien A Hua22870425.79
Alex Aved3151.81
Fuyu Liu41006.87
Ning Jiang5388.71