Abstract
Efficient discovery and resource allocation is one of the challenges of current Peer-to-Peer systems. In centralized approaches, the user requests can be matched to the fastest, cheapest or most available resource. This approach, however, shows scalability limits. In this paper, we explore the catallactic coordination as a decentralized economic approach for resource allocation in peer-to-peer networks. The economic model of the catallaxy is based on the self-interested maximization of utility and the negotiation of prices between agents. We evaluate the feasibility of our approach by means of simulations and compare the proposed system with a centralized baseline approach. Our results indicate that while in the catallacic approach the number of control messages exchanged between the peers grows due to the negotiation process, its service provision rate is fairly constant in different dynamic environments.
This work was supported in part by the Ministry of Science and Technology of Spain under Contract TIC2002-04258-C03-01 and TIC2001-5193-E, and the European Union under Contract IST-2001-34030 CATNET.
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Ardaiz, O. et al. (2003). Exploring the Catallactic Coordination Approach for Peer-to-Peer Systems. In: Kosch, H., Böszörményi, L., Hellwagner, H. (eds) Euro-Par 2003 Parallel Processing. Euro-Par 2003. Lecture Notes in Computer Science, vol 2790. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45209-6_170
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DOI: https://doi.org/10.1007/978-3-540-45209-6_170
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