Abstract:

This paper researches on applying grid and agent technology in case based reasoning to expand users’ experiences sharing extensively. An agent-based grid architecture is proposed which comprises four parts: User Agent, Task Agent, Directory and Monitoring Agent (DM Agent), and the foundation grid layer. Using the services provided by the grid layer the three agents communicate and cooperate with each other to finish the overall CBR process based on the metadata model which models the resources involved in case based reasoning on grid (CBRG). The functions and structure of each agent are also analyzed. The User Agent intelligently guides user through interactive processes. The Task Agent generates execution plan and schedule the implementation process. The DM Agent registers resources metadata, monitors the change in resources and triggers the optimization process. The DM Agent can also find the user preferences and cluster users into user groups while this information greatly facilitates the reasoning speed and quality.