doi: 10.7763/IJMO.2012.V2.177
ECA Rule Learning for Resource Management in Grid Computing: Fuzzy Approach
F. Mahan
1
,
A. Isazadeh
2
,
L. M. Khanli
3
- 1 department, University of Tabriz.
- 2 University of Tabriz, Tabriz, Iran.
- 3 Tabriz University, Tabriz, Iran.
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.
Keywords
- Grid computing
- rule learning
- ECA rule
- resource management
How to 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. https://doi.org/ 10.7763/IJMO.2012.V2.177
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).