A novel approach for grid resource management based on fuzzy logic and semantic Technology
DOI:
https://doi.org/10.11113/ijic.v2n1.11Abstract
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
shows uncertainty in Phenomena. 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.