Ontology Based Resource Allocation (OBRA) for Adaptive Intelligent Grid Environment

Abstract

In a grid environment, the availability of resources and the job requirements are dynamic. Therefore allocating jobs to the available resources in this heterogeneous environment is very critical. This paper analyses the impact of ontological based allocation of jobs to resources in the heterogeneous Grid environment. Resource allocation mechanisms must be able to match jobs ontology to a single resource. The resource allocation mechanism must consider dynamically changing conditions both in terms of resource demand and the resource availability. The ontology submitted by the user may have different constraints that can only be satisfied by certain types of resources with specific capabilities. Resource allocation mechanism should also consider multiple intelligent parameters in allocation process to select the best available resources in order to have optimal allocation. Therefore an Ontology Based Resource Allocation (OBRA) mechanism is proposed, which considers the intelligent parameters to allocate best resource to a job.