Abstract
Building a good autonomous, self-organizing, and collaborating networks is an important research area for the design of large scale and high performance MultiAgent Systems on top of peer-to-peer (P2P) networks. This paper focuses on develo** a mechanism to evaluate and outline performance metrics in dynamic P2P networks and to translate different interactions into computable functions which can lead to solvable decision making problems.
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Gu, J., Nah, J., Kwon, H., Jang, J., Park, S. (2010). Performance Prediction in Peer-to-Peer MultiAgent Networks. In: Joseph, S.R.H., Despotovic, Z., Moro, G., Bergamaschi, S. (eds) Agents and Peer-to-Peer Computing. AP2PC 2007. Lecture Notes in Computer Science(), vol 5319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11368-0_3
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DOI: https://doi.org/10.1007/978-3-642-11368-0_3
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