SMARTSPACE: Multiagent Based Distributed Platform for Semantic Service Discovery

Abstract

Service discovery is an integral issue in the area of service oriented computing (SOC). A centralized platform based service discovery suffers from major drawbacks such as scalability and a single point of failure. A P2P based design incurs high maintenance overhead for a distributed service registry and querying task. In this paper, we have proposed SMARTSPACE-a hybrid multiagent based distributed platform for efficient semantic service discovery. By utilizing reactive agents in modeling services, users' requests, and registry management middleware, the proposed service discovery algorithm, SmartDiscover, is able to achieve fast, scalable, parallel, and concurrent service finding within a systemic environment that can be highly dynamic, asynchronous, and concurrent. We have conducted the SmartDiscover experiments within the JADE 3.7 agent framework on top of both IBM Cloud Cluster and NetLogo simulation environments. The results showed promising positive outcomes in terms of average query response time and the number of message exchanges to maintain the distributed registry. The accuracy of SmartDiscover was measured and compared with the widely accepted benchmark OWL-S MX approach.