A file sharing system in peer-to-peer network by a nearness-sensible method. (5th November 2019)

• Record Type: Journal Article
• Authors: Vimal, S.; Srivatsa, S.K.
• Is Part Of: International journal of reasoning-based intelligent systems. Volume 11:Number 4(2019)
• Page Start: 293
• Page End: 299
• Publication Date: 2019-11-05
• Subjects: file replication -- peer to peer networks -- flower filter mechanism; Artificial intelligence -- Periodicals; Reasoning -- Periodicals; 006.3
• Languages: English
• ISSNs: 1755-0556

Abstract

For a comprehensive peer-to-peer file sharing system dynamic file query is substantial where its performance can be enhanced by clustering of peer that can also considerably improve the efficiency. Depending upon physical nearness and peer interest peers are clustered in current work. File replication algorithm has been employed that creates replicas for the requested file to enhance the efficiency. Compared to unstructured P2P the efficiency is high for structured P2P which is difficult to analyse because of their rigid topology. We have developed nearness and interested cluster (NIC) super peer network to improve the efficiency of file location in current years for P2P system but few works rely on peer interest and physical nearness. Various methods have been used to improve intra-sub-cluster searching. Here the interest is categorised into sub-interest then they are linked according to common-interest. File searching delay is minimised where an overlay is built to link. Flower filter is employed to enhance the efficiency and reduce the overhead. On comparing nearness sensible I-clustered system with other system the efficiency has been traced. The effect of enhancing the efficiency using intra-sub-cluster searching is observed in experimental results.