Dynamic Programming and Stochastic Control
Dynamic Programming and Stochastic Control
Bullet: high bandwidth data dissemination using an overlay mesh
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Robust incentive techniques for peer-to-peer networks
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
A survey of peer-to-peer content distribution technologies
ACM Computing Surveys (CSUR)
Multimedia over IP and Wireless Networks: Compression, Networking, and Systems
Multimedia over IP and Wireless Networks: Compression, Networking, and Systems
Clustering and sharing incentives in BitTorrent systems
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Optimized H.264/AVC-based bit stream switching for mobile video streaming
EURASIP Journal on Applied Signal Processing
An Evolutionary Game Model of Resources-sharing Mechanism in P2P Networks
IITA '07 Proceedings of the Workshop on Intelligent Information Technology Application
A framework for foresighted resource reciprocation in P2P networks
IEEE Transactions on Multimedia
Do incentives build robustness in bit torrent
NSDI'07 Proceedings of the 4th USENIX conference on Networked systems design & implementation
On the complexity of solving Markov decision problems
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Chainsaw: eliminating trees from overlay multicast
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
Maximizing user utility in video streaming applications
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Interest-Intended Piece Selection in BitTorrent-like peer-to-peer file sharing systems
Journal of Parallel and Distributed Computing
A game theoretic approach to minimum-delay scalable video transmission over P2P
Image Communication
A game theoretic approach to video streaming over peer-to-peer networks
Image Communication
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In this paper, we consider the resource reciprocation among self-interested peers in peer-to-peer (P2P) networks, which is modeled as a stochastic game. Peers play the game by determining their optimal strategies for resource distributions using a Markov decision process (MDP) framework. The optimal strategies enable the peers to maximize their long-term utility. Unlike in conventional MDP frameworks, we consider heterogeneous peers that have different and limited ability to characterize their resource reciprocation with other peers. This is due to the large complexity requirements associated with their decision making processes. We analytically investigate these tradeoffs and show how to determine the optimal number of state descriptions, which maximizes each peer's average cumulative download rates given a limited time for computing the optimal strategies. We also investigate how the resource reciprocation evolves over time as peers adapt their reciprocation strategies by changing the number of state descriptions. Then, we study how resulting download rates affect their performance as well as that of the other peers with which they interact. Our simulation results quantify the tradeoffs between the number of state descriptions and the resulting utility. We also show that evolving resource reciprocation can improve the performance of peers which are simultaneously refining their state descriptions.