Result evaluation strategies for peer selection in P2P

  • Authors:
  • M. Harish;N. Anandavelu;N. Anbalagan;G. S. Mahalakshmi;T. V. Geetha

  • Affiliations:
  • Anna University, Chennai, Tamil Nadu, India;Anna University, Chennai, Tamil Nadu, India;Anna University, Chennai, Tamil Nadu, India;Anna University, Chennai, Tamil Nadu, India;Anna University, Chennai, Tamil Nadu, India

  • Venue:
  • COMPUTE '08 Proceedings of the 1st Bangalore Annual Compute Conference
  • Year:
  • 2008

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Abstract

P2P networks provide a highly reliable way of sharing resources. For the peers to behave honestly trust needs to be incorporated. The trust framework should incorporate self-experience and reputation to calculate trustworthiness of a peer, in order to enable assessing the peers based on the services provided by them. Within the trust framework, various strategies for assessing the peers based on the performance shall be analysed which may result in selection of peers for providing certain type of services. This paper proposes Game Tree strategy, Tit for Tat strategy, Self Trust strategy, Dynamic strategy and Auditing strategy for selecting peers for doing job in trust-driven P2P networks.