Bio-inspired Model for Behavior Emergence: Modelling and Case Study

Large scale networks such as computational Grid promise a distributed computing infrastructure that can provide globally available network resources. Their size and complexity continue to increase and permit an almost ubiquitous availability of resources; users access to network resources irrespective to their location. These distributed systems need to be highly flexible, self-organizing and adaptable in order to cope with the dynamically changing environment. In this paper, we propose a models of holonic multi-agent system inspired by the Human immune system for behavior emergence. Our aims is to provide, from the computational viewpoint, models offering powerful and robust information processing capabilities for resource allocation in large scale network. We then discuss the implementation and present results to show that inspired models exhibit self-organization with support for mobility, flexibility, and adaptability to users and network condition changes.