ECA Rule Learning for Resource Management in Grid Computing: Fuzzy Approach
Farnaz Mahan, Ayaz Isazadeh, Leyli Mohammad Khanli · International Journal of Modeling and Optimization · 2012
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.