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General Information
    • ISSN: 2010-3697  (Online)
    • Abbreviated Title: Int. J. Model. Optim.
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET), EBSCO, etc.
    • E-mail ijmo@iacsitp.com
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2012 Vol.2(4): 535-538 ISSN: 2010-3697
DOI: 10.7763/IJMO.2012.V2.177

ECA Rule Learning for Resource Management in Grid Computing: Fuzzy Approach

F. Mahan, A. Isazadeh, and L. M. Khanli

Abstract—Grid computing is important environment for resource sharing and distributed system integration. One discussed field in Grid computing is the resource management. In this paper, Grid-JQA architecture is used that includes active database. We focus resource management with regarding to active rule learning. Rule learning is very significant for efficient rules in active database system. Fuzzy Decision tree can use into rule update. Results shows this approach can be effectively applied for rule learning in such environments because there is attribute with continuous values and splitting at node must be dynamic.

Index Terms—Grid computing, rule learning, ECA rule, resource management.

F. Mahan is a Ph.D student in the CS department, University of Tabriz (mahan@tabrizu.ac.ir).
A. Isazadeh is a professor in the Department of Computer Science at the University of Tabriz, Tabriz, Iran (isazadeh@tabrizu.ac.ir).
L. Mohammad Khanli is currently assistant professor in the Department of Computer Science at Tabriz University, Tabriz, Iran (l-khanli@tabrizu.ac.ir).


Cite: F. Mahan, A. Isazadeh, and L. M. Khanli, "ECA Rule Learning for Resource Management in Grid Computing: Fuzzy Approach," International Journal of Modeling and Optimization vol. 2, no. 4, pp. 535-538, 2012.

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