Learning automata: an introduction
Learning automata: an introduction
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Incentives for sharing in peer-to-peer networks
Proceedings of the 3rd ACM conference on Electronic Commerce
Robust incentive techniques for peer-to-peer networks
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
A case for taxation in peer-to-peer streaming broadcast
Proceedings of the ACM SIGCOMM workshop on Practice and theory of incentives in networked systems
A Combined Global & Local Search (CGLS) Approach to Global Optimization
Journal of Global Optimization
Distributed and centralized algorithms for large-scale IEEE 802.11b infrastructure planning
ISCC '04 Proceedings of the Ninth International Symposium on Computers and Communications 2004 Volume 2 (ISCC"04) - Volume 02
Adaptive load balancing: a study in multi-agent learning
Journal of Artificial Intelligence Research
Toward self-organized mobile ad hoc networks: the terminodes project
IEEE Communications Magazine
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In this paper, we evaluate the feasibility of distributed control of shared resources in user-managed networks. This paradigm has become possible with the advent of broadband wireless networking technologies such as IEEE 802.11. One of the most popular applications in these networks is peer-to-peer (P2P) file exchange. Node cooperation can optimize the usage of shared “external” accesses to the Internet (set of links between the user network and the Internet). In a previous paper, we evaluated different agent-oriented distributed control schema, based on the concept of credit limits, on ideal mesh networks subject to uniform traffic. Each node in the mesh network chooses to behave as a cooperator or a defector. Cooperators may assist in file exchange, whereas defectors try to get advantage of network resources without providing help in return. Before this paper was completed, we observed that popular P2P protocols like eMule, Kazaa and BitTorrent were evolving towards the same credit-oriented strategies we previously proposed. Now, we realistically model both user network traffic and topology, and evaluate a new advanced agent-based distributed control scheme. The simulation results in this paper confirm on realistic networks the main conclusion in our previous research: autonomous node agents become cooperators in their permanent state when they take decisions from local information, checking that file exchange services offered to neighbor nodes do not exceed appropriate credit limits.