Access control to BitTorrent swarms using closed swarms
Proceedings of the 2010 ACM workshop on Advanced video streaming techniques for peer-to-peer networks and social networking
UDP NAT and firewall puncturing in the wild
NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part II
A study of an hybrid CDN-P2P system over the PlanetLab network
Image Communication
Playback policies for live and on-demand p2p video streaming
IFIP'12 Proceedings of the 11th international IFIP TC 6 conference on Networking - Volume Part II
Leveraging social network concepts for efficient peer-to-peer live streaming systems
Proceedings of the 20th ACM international conference on Multimedia
BitTorrent-like P2P approaches for VoD: A comparative study
Computer Networks: The International Journal of Computer and Telecommunications Networking
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The BitTorrent protocol is by far the most popular protocol for offline peer-to-peer video distribution on the Internet. BitTorrent has previously been extended to support the streaming of recorded video, that is, Video-on-Demand (VoD). In this paper, we take this support for video streaming a step further by presenting extensions to BitTorrent for supporting live video streaming, which we have implemented in our BitTorrent client called Tribler. We have tested our extensions both by running simulations, and by deploying our implementation in a public trial in the Internet, using the optimal values of several parameters as found in the simulations. We analyse the performance of Tribler in systems with varying values for the percentage of peers behind a firewall or NAT, which we consider to be one of the key parameters in the performance of deployed P2P systems. Our public trial lasted 9 days, during which 4555 unique peers participated from around the globe. We found 61% of the peers to be behind a firewall, a level at which our simulations still indicate acceptable performance. Most of the peers indeed obtained good performance, with for instance a very low prebuffering time before playback starts, indicating the feasibility of our approach. The median prebuffering time we measured was 3.6 seconds, which is 3--10 times shorter than the prebuffering time measured in other deployed peer-to-peer systems.