SplitStream: high-bandwidth multicast in cooperative environments
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Modeling and Caching of Peer-to-Peer Traffic
ICNP '06 Proceedings of the Proceedings of the 2006 IEEE International Conference on Network Protocols
A Case Study of Traffic Locality in Internet P2P Live Streaming Systems
ICDCS '09 Proceedings of the 2009 29th IEEE International Conference on Distributed Computing Systems
Analysis of PPLive through active and passive measurements
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
Surfing Peer-to-Peer IPTV: Distributed Channel Switching
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
Tree-based analysis of mesh overlays for peer-to-peer streaming
DAIS'08 Proceedings of the 8th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
On characterizing PPStream: measurement and analysis of P2P IPTV under large-scale broadcasting
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Enabling adaptive live streaming in P2P multipath networks
The Journal of Supercomputing
Chainsaw: eliminating trees from overlay multicast
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
Session level analysis of p2p television traces
FMN'10 Proceedings of the Third international conference on Future Multimedia Networking
A Measurement Study of a Large-Scale P2P IPTV System
IEEE Transactions on Multimedia
Flash Crowd in P2P Live Streaming Systems: Fundamental Characteristics and Design Implications
IEEE Transactions on Parallel and Distributed Systems
The Journal of Supercomputing
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Originally used as the default infrastructure for efficient file sharing, peer-to-peer (P2P) architecture achieved great successes. Now, the P2P model has been adopted for many other distributed applications, such as instant message and phone services, Internet gaming, and large-scale scientific computing. In recent years, P2P streaming systems experienced tremendous growth and became one of the largest bandwidth consumers on the Internet. Compared to standard file sharing systems, the streaming services show unique characteristics with more stringent time constraints and require much higher network bandwidth. It is extremely important to evaluate and analyze existing applications, and investigate the merits and weaknesses in these systems for future development.In this paper, we conduct a comprehensive measurement study on two of the most popular P2P streaming systems, namely, PPLive and PPStream. They are very popular P2P streaming applications, and serving millions of registered users with hundreds of live TV channels and millions of other video clips. In our measurement, we deploy our collectors in China, and both live TV and video-on-demand (VoD) channels are evaluated. We record run-time network traffic on the client side, compare and analyze the characteristics of these channels based on their popularity. For both categories, we perceive that, in general, the two measured P2P streaming systems provide satisfactory experience to the audiences for all channels regardless of popularity. However, the most of data are downloaded from the dedicated servers for unpopular channels. We also observe that live TV channels show better peer coordination than VoD channels. Beside the traffic, we have also collected cache replacement information for VoD channels, and these measurement results can help us understand the caching mechanism of P2P streaming systems. With the support of the cache, VoD channels perform better than their counterparts in the live TV category in terms of data transmission, workload distribution, and signal traffic overhead. Overall, our results reveal that although P2P streaming systems can usually provide excellent viewing experience for popular channels, there are still challenges to fully support unpopular channels. New designs and algorithms are in urgent need, especially for unpopular live TV channels.