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...

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Hauptverfasser: Chen Jia, Wu Yue, Sheu, P.C.Y., Li Ming, Hui Bei
Format: Tagungsbericht
Sprache:eng
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Beschreibung
Zusammenfassung: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
ISSN:1082-3409
2375-0197
DOI:10.1109/ICTAI.2006.38