On-line Evolutionary Resource Matching for Job Scheduling in Heterogeneous Grid Environments
ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 2
A multi-dimensional scheduling scheme in a Grid computing environment
Journal of Parallel and Distributed Computing
Resource Matching in Non-dedicated Multicluster Environments
High Performance Computing for Computational Science - VECPAR 2008
A self-optimized job scheduler for heterogeneous server clusters
JSSPP'07 Proceedings of the 13th international conference on Job scheduling strategies for parallel processing
Bandwidth and computing resources provisioning for grid applications and services
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Resource provisioning in SLA-based cluster computing
JSSPP'10 Proceedings of the 15th international conference on Job scheduling strategies for parallel processing
Parallel job scheduling for power constrained HPC systems
Parallel Computing
Ontology based resource allocation (OBRA) for adaptive intelligent grid environment
UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
MIP model scheduling for multi-clusters
Euro-Par'12 Proceedings of the 18th international conference on Parallel processing workshops
| Hi-index | 0.01 |
In this paper, we first present a linear programming based approach for modeling and solving the resource matching problem in grid environments with heterogeneous resources. The resource matching problem described takes into account resource sharing, job priorities, dependencies on multiple resource types, and resource specific policies. We then propose Web service style architecture for online matching of independent jobs with resources in a grid environment and describe a prototype implementation. Our preliminary performance results indicate that the linear programming based approach for resource matching is efficient in speed and accuracy and can keep up with high job arrival rates of an important criterion for online resource matching systems. Also, the Web service style architecture makes the system scalable and extendable. It can also be integrated with other existing grid services in a straightforward manner.