Adaptive Video Multicast over the Internet
IEEE MultiMedia
The Essence of P2P: A Reference Architecture for Overlay Networks
P2P '05 Proceedings of the Fifth IEEE International Conference on Peer-to-Peer Computing
Supporting Low-Cost Video-on-Demand in Heterogeneous Peer-to-Peer Networks
ISM '05 Proceedings of the Seventh IEEE International Symposium on Multimedia
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
Overlay Bandwidth Management: Scheduling and Active Queue Management of Overlay Flows
LCN '07 Proceedings of the 32nd IEEE Conference on Local Computer Networks
IEEE Transactions on Information Theory
From cells to organisms: long-term guarantees on service provisioning in peer-to-peer networks
NOTERE '08 Proceedings of the 8th international conference on New technologies in distributed systems
Quality-aware segment transmission scheduling in peer-to-peer streaming systems
MMSys '10 Proceedings of the first annual ACM SIGMM conference on Multimedia systems
Improving QoS in bittorrent-like VoD systems
INFOCOM'10 Proceedings of the 29th conference on Information communications
Peer-to-peer delivery system for short video sharing
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
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Multimedia streaming of mostly user generated content is an ongoing trend, not only since the upcoming of Last.fm and YouTube. A distributed decentralized multimedia streaming architecture can spread the (traffic) costs to the user nodes, but requires to provide for load balancing and consider the heterogeneity of the participating nodes. We propose a DHT-based information gathering and analyzing architecture which controls the streaming request assignment in the system and thoroughly evaluate it in comparison to a distributed stateless strategy. We evaluated the impact of the key parameters in the allocation function which considers the capabilities of the nodes and their contribution to the system. Identifying the quality-bandwidth tradeoffs of the information gathering system, we show that with our proposed system a 53% better load balancing can be reached and the efficiency of the system is significantly improved.