Keyword Search for Enhancing JXTA Discovery Service in Peer to Peer Networks

Abstract

JXTA (Juxtapose) is emerging as the next generation P2P (peer to peer) platform and has been adopted by many applications, such as instant messaging systems, file sharing systems, and real-time collaboration platforms, etc. However, JXTA is lack of keyword search. Without the support of keyword search, the query must contain the exact full name of a desired resource. It is inconvenient for users in this aspect. In this paper, we propose a mechanism called JXTA Keyword Search (JKS) with the support of Chinese Keyword Partition (CKP). JKS has two objectives. First, it is providing keyword search upon JXTA. New publishing and discovery schemes are proposed for keyword search. Second, it is designing a Chinese Keyword Partition method to enhance the number of exact matches. Experimental results, based on real data obtained from some notable portal sites, show that the number of exact matches of the proposed JKS is comparable to that of KAD with English queries. Furthermore, JKS is 237% less than KAD in terms of bandwidth cost with English queries. The proposed JKS performs much better than KAD with mixed queries (English + Chinese). The research results are applicable for P2P applications (e.g. file sharing, multimedia streaming sharing, internet service discovery, etc.) built on JXTA.