Reliable peer-to-peer semantic knowledge sharing system

Abstract

Reliability issues arise in Peer-to-Peer Semantic Knowledge Sharing (P2PSKS) systems. P2PSKS systems are prone to disconnection failures. Disconnection failures deprive the network peers from having access to complete knowledge in the PSPSKS system. Disconnection failures arise when the P2PSKS systems employ the adaptive query routing methods in order to avoid flooding the networks with redundant search messages or queries during information exchange. P2PSKS systems need to utilize fault-tolerant query result evaluation function in order to be reliable. The current publication will focus on two objectives in P2PSKS research: 1. reliability problem identification and 2. reliability problem solutions. The P2PSKS system reliability problem will be identified through the use of simulation modeling techniques. The P2PSKS system reliability problem solutions will be advanced through adaptations of the generous tit-for-tat method which was originally developed in evolutionary game theory. The current research will demonstrate more reliable solutions to address P2PSKS system reliability issues by advancing the Fault-Tolerant Adaptive Query Routing (FTAQR) algorithm.