AgentGrid 2003

Managing access to computing and data resources is a complex and time consuming task. As Grid and Cluster computing matures, deciding which systems to use, where the data resides for a particular application domain, how to migrate the data to the point of computation, and data rates required to maintain a particular application behaviour become significant. Intelligent agents provide a useful means to achieve these objectives, while the agent community can find Grid environments useful testbeds to deploy agents on a large scale.

The aim of this workshop is to bring together both infrastructure developers and applications developers who are working towards the vision of an Information Grid using agent technologies, and to inspire and encourage collaboration between these two communities.

• Scaling agent communities for global computing
• Performance analysis and modeling of multi-agent communities
• Performance enhancement methodologies for mobile and multi-agent systems
• Integrating peer-to-peer infrastructure with multi-agent systems
• Agent frameworks and infrastructure to support the Grid
• Software engineering support for scalable multi-agent systems
• Support for managing and establishing multi-agent communities
• Approaches for managing Grid systems (economic/market based, nature-inspired)
• Using agent based paradigms to support Grid environments
• Supporting service discovery and service management using agent based approaches
• Recommender agents for scientific problem solving
• Ontology support for scientific applications
• Integrating ontologies with Grid services
• Agent based resource and service management in Grid environments
• Agent based load balancing, and metacomputing support
• Agent based network monitoring and characterisation
• Data migration and management via agents