HyperPeer: searching for resemblance in a P2P network

  • Authors:
  • Rene Dalsgaard Larsen;Niels Olof Bouvin

  • Affiliations:
  • University of Aarhus, Denmark;University of Aarhus, Denmark

  • Venue:
  • Proceedings of the fifteenth ACM conference on Hypertext and hypermedia
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents HyperPeer, a framework for developing peer-to-peer based hypermedia. The distribution of hypermedia structures is handled through a peer-to-peer (P2P) network, allowing for highly scalable sharing between users. A central challenge of all decentralized systems is to locate material of interest and this paper presents the HyperPeer Hierarchy of Resemblance (HR) searching algorithm, which provides an efficient search as well as partitioning of the network into groups of common interest.