Innovative Rated-Resource Peer-to-Peer Network

TL;DR

This paper introduces R2P2P, a novel decentralized P2P network architecture that attaches ratings directly to documents via XML advertisements, enabling efficient sorting and relevance-based retrieval of shared files.

Contribution

It proposes a new P2P architecture that embeds document ratings within XML advertisements, improving document relevance sorting and retrieval in decentralized networks.

Findings

Ratings are attached directly to documents in real time.

Documents can be sorted based on relevance using embedded ratings.

The model enhances the efficiency of file retrieval in P2P networks.

Abstract

Peer-to-Peer (P2P) networks provide a significant solution for file sharing among peers connected to Internet. It is fast and completely decentralised system with robustness. But due to absence of a server documents on a P2P network are not rated which makes it difficult for a peer to obtain precise information in result of a query. In past, some researchers tried to attach ratings to the peers itself but it was complex and less effective. In this paper, a novel P2P architecture is proposed which attaches ratings to the uploaded document directly. These ratings then become as <Rating> element in its XML advertisement which has several child elements for information classification. The attached <Rating> element is extracted from the advertisement in real time and the document is then sorted accordingly. Therefore, the information can be easily sorted based on a request by a peer according to the relevance of matter. The information regarding relevance is obtained by the peer issuing the query. This research leads to a smart P2P model, the Rated-Resource P2P network (R2P2P).