Efficient category-based service discovery on multi-agent platform

Abstract

Today, multi-agent technologies are widely used for realizing prevalent ubiquitous computing applications, in which service discovery is a critical task for finding a particular service instance. While JADE is a popular system for multi-agent applications, its directory facilitator (DF) used for service discovery employs a sequential search approach, which shows degraded performance when the number of registered services becomes large. This paper proposes a new DF scheme employing the category-based classification and search approach. It greatly reduces the search space and allows accurate matchmaking. The DF implemented with the proposed approach and JADE-DF are compared in terms of query response time and memory space requirement. It demonstrates that the proposed DF allows faster query processing than JADE-DF and requires smaller memory space, especially for a large number of services and queries of multiple parameters.

Intelligent forest fire monitoring system

“…If monitoring station is not equipped with a meteorological station, agents dedicated to collecting meteo data from each sensor of sensory network and storing it into database are not activated. System is implemented using JADE (Bellifemine et al 2007;Han et al 2010) (Java Agent Development Environment) and running Rete (Forgy 1982) algorithm for reasoning and knowledge processing.…”