SIPPER: Selecting Informative Peers in Structured P2P Environment for Content-Based Retrieval

Authors:
Shuigeng Zhou;Zheng Zhang;Weining Qian;Aoying Zhou
Affiliations:
Fudan University, China;Fudan University, China;Fudan University, China;Fudan University, China
Venue:
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Year:
2006

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Abstract

In this demonstration, we present a prototype system called SIPPER, which is the abbreviation for Selecting Informative Peers in Structured P2P Environment for Content-based Retrieval. SIPPER distinguishes itself from the existing P2P-IR systems by the following two features: First, to improve retrieval efficiency, SIPPER employs a novel peer selection method to direct the query to a small fraction of relevant peers in the network for searching globally relevant documents. Second, to reduce the bandwidth cost of meta data publishing, SIPPER uses a new publishing mechanism, the term-node publishing mechanism, which is different from the traditional term-document model [2].