Improving computation power by reducing query response time and security measures in peer-to-peer environment

Abstract

The Peer-to-Peer (P2P) is an emerging model and is being widely adopted in today s internet computing. A P2P network is composed of an unbounded set of peers, where different users and organizations share their computing resources such as processing power, memory storage, disk space etc. in a completely distributed, scalable and fault tolerant manner. This research is an attempt, guided by the motivation of reducing query response time, traffic cost incurred by the P2P network and security problems during transmission of data from one peer to another peer. This research has been performed to reduce the query response time and traffic overheads in P2P environment and thereby securing information by selecting an efficient query-forwarding paths and logical neighbors. This thesis aims at presenting a robust system and solutions for reducing query response time, traffic cost and providing healthier environment by avoiding unnecessary messages, message duplications and malicious transactions. Computation of Query Response Time (QRT) - Response time of a query is equal to the time period from when the query is issued until when the source peer receives a result from the first responder. The Optimal Reputation Model (ORM) This technique is used to secure messages during transferring messages from one peer to another. The provider is accountable for all its past transactions. The experimental result shows that the average number of satisfactory transactions of optimal reputation model is about 50 percent more when compared to RSA blinding cryptographic algorithm and reputation model. The result is about 50 and 60 percent respectively and is lesser than ORM. This research has been performed to reduce the query response time and to secure information in P2P environment by selecting efficient query forwarding paths and logical neighbors. As a result, it reduces the query response time, traffic cost and provides more number of secured transactions which increases the overall system performance.