Agent Design of SmArt License Management System Using Gaia Methodology

Abstract

Modern software services and data centers require a license management system to regulate the agreements that have been reached between subscriber and provider. License management helps to track usage and protect service from abuse. License agreements provide the basis for enforcement and regulation. The automation of license agreements is desired by providers and subscribers to improve transaction efficiency, give flexibility, and minimize unwanted cost. We have proposed a framework, called SmArt (semantic agreement) system, that enables agreement automation in the autonomic computing context using ontology and agent technologies. This paper applies the SmArt system to the domain of license management and presents its agent design with Gaia methodology.