Performance Prediction in Peer-to-Peer MultiAgent Networks

  • Authors:
  • Jabeom Gu;Jaehoon Nah;Hyeokchan Kwon;Jongsoo Jang;Sehyun Park

  • Affiliations:
  • Electronics and Telecommunications Research Institute, Daejeon, Korea 305-350;Electronics and Telecommunications Research Institute, Daejeon, Korea 305-350;Electronics and Telecommunications Research Institute, Daejeon, Korea 305-350;Electronics and Telecommunications Research Institute, Daejeon, Korea 305-350;Chung-Ang University, Seoul, Korea 156-756

  • Venue:
  • Agents and Peer-to-Peer Computing
  • Year:
  • 2009

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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 developing 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.