Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Free-riding and whitewashing in peer-to-peer systems
Proceedings of the ACM SIGCOMM workshop on Practice and theory of incentives in networked systems
From Selfish Nodes to Cooperative Networks " Emergent Link-Based Incentives in Peer-to-Peer Networks
P2P '04 Proceedings of the Fourth International Conference on Peer-to-Peer Computing
Free Riding on Gnutella Revisited: The Bell Tolls?
IEEE Distributed Systems Online
The state of peer-to-peer simulators and simulations
ACM SIGCOMM Computer Communication Review
Hi-index | 0.00 |
In distributed, dynamic networks and applications, such as Peer-to-Peer (P2P), users' behaviour and quality of service/quality of experiment are known to influence each other. In worst cases, these mutual influences could lead the system to crash. We propose a novel approach to model relationships between users and QoS. It is based upon multi-agent systems in order to study the impact of situated behaviours on the global network and to integrate different levels of representation (users' behaviour, overlay protocols, network topology). This paper describes our approach to represent the different models required in such systems and a first implementation in an existing overlay simulator with the first results of experimentations.