Multi-Attribute Based Similar Content Indexing in Hybrid Peer-to-Peer Networks

  • Authors:
  • Praveen Kumar;Srividya Gopalan;Sridhar V

  • Affiliations:
  • Applied Research Group, Satyam Computers Services Limited, Bangalore 560012, India.;Applied Research Group, Satyam Computers Services Limited, Bangalore 560012, India.;Applied Research Group, Satyam Computers Services Limited, Bangalore 560012, India.

  • Venue:
  • ICNS '06 Proceedings of the International conference on Networking and Services
  • Year:
  • 2006

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Abstract

Peer-to-Peer (P2P) networks are increasingly gaining acceptance over the Internet as they provide an infrastructure for content search and exchange. Hybrid P2P architecture is used to provide directory services for network clusters to share resources between peers within and across clusters. In this paper, we propose an advanced Multi-Attribute based Content Indexing scheme in Hybrid P2P networks. The proposed Indexing scheme is present only at the Super Peer (SP) to enable an intelligent controlled query routing mechanism for better bandwidth management and search precision in P2P networks. The proposed content indexing scheme builds attribute specific content indices to search for similar information content for a set of multiple content attributes. The resulting controlled query propagation using Multi- Attribute Index Tables at SP avoids flooding of queries, improves search efficiency and reduces query response time as compared to flooding and caching.