iDIBS: An Improved Distributed Backup System
ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1
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Peer-to-peer file systems are typically vulnerable to denial-of-service or free-loader problems. Those that address theseissues employ approaches are either simplistic or require acentralized 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-peersystem as an autonomous agent, interested in preserving itsown disk storage. We develop a model for these agents, andpresent experimental simulation and external emulation results from a multi-agent reinforcement learning model demonstrating the validity of this approach.