Abstract
With the growing popularity of P2P live streaming, more and more channels have been set up, however, this poses new challenges to P2P technology, such as stronger dynamic characteristic, high switching delay. In this paper, we focus on the server, which can allocate different bandwidth to meet the needs of each type of peers, especially the switching peers. On a close study of the basic tradeoff between the switching peers’ and overall performance, we propose new peers first strategy and adaptive bandwidth allocation, and get a satisfactory result. Our results show that the full and rational utilization of server bandwidth is of great help for improving the performance of multi-channel P2P live streaming.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Zhang, X., Liu, J., Li, B., Yum, Y.S.: Coolstreaming/donet: A data-driven overlay network for live media streaming. In: Proc. IEEE INFOCOM 2005, pp. 2102–2111 (2005)
Zhang, M., Luo, J., Zhao, L., Yang, S.: A peer-to-peer network for live media streaming - using a push-pull approach. In: Proceedings of the 13th annual ACM international conference on Multimedia, Singapore, pp. 287–290 (2005)
Zhang, M., Sun, L., Xi, X., Yang, S.: igridmedia: Providing delay-guaranteed peer-to-peer live streaming service on internet. In: Proc. IEEE Globecom 2008, New Orleans, USA, pp. 1–5 (2008)
Wu, C., Li, B., Zhao, S.: Multi-channel live p2p streaming: Refocusing on servers. In: Proc. IEEE INFOCOM 2008, Phoenix, USA, pp. 1355–1363 (2008)
PPLive: Pplive (2009), http://www.pplive.com/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tang, C., Sun, L., Yang, S. (2010). Adaptive Server Bandwidth Allocation for Multi-channel P2P Live Streaming. In: Boll, S., Tian, Q., Zhang, L., Zhang, Z., Chen, YP.P. (eds) Advances in Multimedia Modeling. MMM 2010. Lecture Notes in Computer Science, vol 5916. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11301-7_75
Download citation
DOI: https://doi.org/10.1007/978-3-642-11301-7_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11300-0
Online ISBN: 978-3-642-11301-7
eBook Packages: Computer ScienceComputer Science (R0)