Intelligent web service discovery in large distributed system

Abstract

Web services are the new paradigm for distributed computing. Traditional centralized indexing scheme can't scale well with a large distributed system for a scalable, flexible and robust discovery mechanism. In this paper, we use an ontology-based approach to capture real world knowledge for the finest granularity annotation of Web services. This is the core for intelligent discovery. We use a distributed hash table (DHT) based catalog service in P2P (peer to peer) system to index the ontology information and store the index at peers. We have discussed the DHT based service discovery model and discovery procedure. DHT supports only exact match lookups. We have made improvement to the matching algorithm for intelligent services discovery. The experiments show that the discovery model has good scalability and the semantic annotation can notably improve discovery exactness. The improved algorithms can discover the most potential service against request. © Springer-Verlag Berlin Heidelberg 2004.