Performance Evaluation of Recommendation Retrieval in Peer-to-Peer Networks

Abstract

Reputation systems are becoming vital in peer-to-peer networks due to the risks that threaten such networks. One of the vital component that contributes to the success of a reputation system is recommendation retrieval. In this paper, we discuss the effectiveness and cost metrics in recommendation retrieval by evaluating various recommendation retrieval mechanisms such as flooding, recommendation tree, and storage peer. Simulation results show that the performance of recommendation retrieval is significantly affected by the overlay network construction.