An agent-based approach to enforcing fairness in peer-to-peer distributed file systems

Peer-to-peer file systems are typically vulnerable to denial-of-service or free-loader problems. Those that address these issues employ approaches are either simplistic or require a centralized authority. In this paper we explore how a zero-sum trading system can provide strong quotas to a peer-to-peer distributed file system without any centralized authority. We will treat each member of such a peer-to-peer system as an autonomous agent, interested in preserving its own disk storage. We develop a model-for these agents, and present experimental simulation and external emulation results from a multi-agent reinforcement learning model demonstrating the validity of this approach.