Agent-Based Resource Management for Grid Computing

• Published in: Cluster Computing and the Grid (CCGrid 2002): 2nd IEEE International Symposium p. 350
• Main Authors: Junwei Cao, Spooner, D., Turner, J.D., Jarvis, S., Kerbyson, D.J., Saini, S., Nudd, G.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2002
• Subjects: Autonomous agents; Computer architecture; Grid computing; Lab-on-a-chip; Monitoring; NASA; Power system modeling; Resource management; Software agents; Software systems
• ISBN: 9780769515823; 0769515827
• DOI: 10.1109/CCGRID.2002.1017159

It is envisaged that the grid infrastructure will be a large-scale distributed software system that will provide high-end computational and storage capabilities to differentiated users. A number of distributed computing technologies are being applied to grid development work, including CORBA and Jini. In this work, we introduce an A4 (Agile Architecture and Autonomous Agents) methodology, which can be used for resource management for grid computing. An initial system implementation utilises the performance prediction techniques of the PACE toolkit to provide quantitative data regarding the performance of complex applications running on local grid resources. At the meta-level, a hierarchy of identical agents is used to provide an abstraction of the system architecture. Each agent is able to cooperate with other agents to provide service advertisement and discovery to schedule applications that need to utilise grid resources. A performance monitor and advisor (PMA) is in development to optimize the performance of agent behaviours.