Dynamic batching policies for an on-demand video server
Multimedia Systems
Scalable application layer multicast
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Scalable on-demand media streaming with packet loss recovery
IEEE/ACM Transactions on Networking (TON)
On Peer-to-Peer Media Streaming
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
A hybrid architecture for cost-effective on-demand media streaming
Computer Networks: The International Journal of Computer and Telecommunications Networking
A case for end system multicast
IEEE Journal on Selected Areas in Communications
Scribe: a large-scale and decentralized application-level multicast infrastructure
IEEE Journal on Selected Areas in Communications
oStream: asynchronous streaming multicast in application-layer overlay networks
IEEE Journal on Selected Areas in Communications
A peer-to-peer architecture for media streaming
IEEE Journal on Selected Areas in Communications
Hi-index | 0.02 |
With the growth of bandwidth, real-time video streaming service becomes popular. Such application is also considered a future killer application on Internet. Recent research efforts have demonstrated the promising potential of building cost-effective video streaming systems on top of peer-to-peer (P2P) networks. Since the peers have limited capacity, such as upstream bandwidth, each streaming session may involve multiple supplying peers. In this paper, we propose a novel strategy to retrieve a long-duration video from multiple peers which have arbitrary and restricted upstream bandwidth, such that the waiting time is minimized. In comparison with the previous work [13], our strategy can greatly improve the waiting time. In the arbitrary given examples, our strategy can improve the waiting time by 67%. To take into account the popular compressed video with variable bit rate, we also show how to apply our strategy readily to the VBR videos.