Online resource matching for heterogeneous grid environments
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
Grid Resource Discovery Approach Based on Matchmaking Engine Overlay
SKG '07 Proceedings of the Third International Conference on Semantics, Knowledge and Grid
Process-context aware matchmaking for web service composition
Journal of Network and Computer Applications
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FGCN '08 Proceedings of the 2008 Second International Conference on Future Generation Communication and Networking - Volume 02
Dynamic resource selection heuristics for a non-reserved bidding-based Grid environment
Future Generation Computer Systems
Job-resource matchmaking on Grid through two-level benchmarking
Future Generation Computer Systems
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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.