Evolving service semantics cooperatively: a consumer-driven approach
Autonomous Agents and Multi-Agent Systems
Survey on anonymity in unstructured peer-to-peer systems
Journal of Computer Science and Technology
An adaptive peer-to-peer live streaming system with incentives for resilience
Computer Networks: The International Journal of Computer and Telecommunications Networking
Selfishness-aware data-driven overlay network
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A formal credit-based incentive model for sharing computer resources
EuroPar'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I
Performance analysis of an integrated scheduling scheme in the presence of bursty MMPP traffic
Journal of Systems and Software
Auction-based P2P VoD streaming: Incentives and optimal scheduling
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Issue on P2P Streaming
Coordination of cooperation policies in a peer-to-peer system using swarm-based RL
Journal of Network and Computer Applications
A novel dynamic pricing scheme for contributing peers in the VoD system
Multimedia Tools and Applications
Proceedings of the 2012 IEEE 20th International Workshop on Quality of Service
Resource Acquisition from Set-Top-Boxes for Service Provision
International Journal of Information Systems in the Service Sector
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We propose a novel payment-based incentive scheme for peer-to-peer (P2P) live media streaming. Using this approach, peers earn points by forwarding data to others. The data streaming is divided into fixed length periods; during each of these periods peers compete with each other for good parents (data suppliers) for the next period in a first-price-auction-like procedure using their points. We design a distributed algorithm to regulate peer competitions, and consider various individual strategies for parent selection from a game theoretic perspective. We then discuss possible strategies that can be used to maximize a peer's expected media quality by planning different bids for its substreams. Finally, in order to encourage off-session users to remain staying online and continue contributing to the network, we develop an optimal data forwarding strategy that allows peers to accumulate points that can be used in future services. Simulations results show that proposed methods effectively differentiate the media qualities received by peers making different contributions (which originate from, for example, different forwarding bandwidths or servicing times), and at the same time maintaining a high overall system performance.