A Novel Approach for Grid Resource Management Based on Fuzzy Logic and Semantic Technology

One of the important challenges in grid is quality of service (QoS) for all the accepted users or applications, while increasing the utilization of resources through resource sharing. An effective resource management approach must guarantee the QoS and balance the load among grid nodes which are frequently highly dynamic and heterogeneous. Grid resources are commonly varied regarding their software and hardware formations. Collecting and supervision of these resources, and discovering appropriate resources is an important topic. So semantic can be very useful for resource discovery and resource selection. Fuzzy theory is another intelligent approach which is applied in our approach to solve uncertainty in resource discovery. In this paper, a novel approach, which is using semantic and fuzzy theory, is proposed to discover grid resource in Grid environment. Search expressiveness, efficiency and scalability, precision and also discover more related resources are the characteristics of the proposed framework.

Trust, Reputation, Fuzzy theory, Ontology, P2P Grid