Bayesian Classification-based Intelligent-agent Data Management over Grid

This paper proposes a Bayesian classification method to deal with heterogeneous distributed grid data. Based on the classification result, an intelligent-agent can provide an overloading function to process certain classified data sets over a grid. The method assigns a set of agents to coordinate a user job over the grid. It can definitely resolve the main problems existing in grid data management so as to enhance grid data management efficiency