Random number generation and quasi-Monte Carlo methods
Random number generation and quasi-Monte Carlo methods
Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
Kademlia: A Peer-to-Peer Information System Based on the XOR Metric
IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
Analyzing peer-to-peer traffic across large networks
IEEE/ACM Transactions on Networking (TON)
Free-riding and whitewashing in peer-to-peer systems
Proceedings of the ACM SIGCOMM workshop on Practice and theory of incentives in networked systems
A Framework for Automatic and Secure Cycle Stealing
HPCASIA '04 Proceedings of the High Performance Computing and Grid in Asia Pacific Region, Seventh International Conference
Design choices for content distribution in P2P networks
ACM SIGCOMM Computer Communication Review
P2P '06 Proceedings of the Sixth IEEE International Conference on Peer-to-Peer Computing
Design of a peer-to-peer system for optimized content replication
Computer Communications
The bittorrent p2p file-sharing system: measurements and analysis
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
Survey Constrained model predictive control: Stability and optimality
Automatica (Journal of IFAC)
Network Security
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One of the main issues in peer-to-peer file-sharing services is to ensure balanced transfers of data among peers. For instance, the popular eMule file-sharing client interface implements techniques based on a credit system and time modifiers, in order to guarantee a fair degree of contribution/reward, e.g., to prevent leeching. However, fixed heuristic modifiers may not be able to guarantee a fair treatment for every peer participating in the service. This paper introduces an optimized strategy to compute modifiers in order to promote cooperation among peers, while guaranteeing a suitable degree of fairness. Simulations are provided to compare the proposed mechanism to the standard one adopted by the popular eMule client interface.