Agent-Based Resource Selection for Grid Computing

Abstract. Agent technology is critical in providing solutions to grid computing, including resource selection. Traditionally, agent deliberation offers a deductive process whose deliberation cost is very high and also difficult to measure. We consider the use of Multi-Agent Systems (MAS) for grid selection. Within this domain timing is an important index. Once the client applies for some service, the MAS should be able to quickly make a match. Furthermore, as autonomous software entities, MAS are expected to control its own deliberation behaviors. Within this paper, we propose agent-based resource selection with an agentbased fuzzy decision-making capability that enables better deliberation control and hence provides better selection solution.