The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Sun Grid Engine: Towards Creating a Compute Power Grid
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Grid Information Services for Distributed Resource Sharing
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Distributed computing in practice: the Condor experience: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
Future Generation Computer Systems - Special section: Information engineering and enterprise architecture in distributed computing environments
Standardization of an API for Distributed Resource Management Systems
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
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Over the past few years much attention has been given to integrating multiple heterogeneous Grids. Recently, an adaptor-based Grid metascheduler has been proposed as a means to enable interoperation among different Grids. However, one drawback of such approach is that when multiple metaschedulers participate in the Grid all scheduling instances work in isolation, which in turn leads to poor load-balancing. In this paper, we propose a Super-Metascheduler approach which improves utilization and removes resource contention by centrally coordinating scheduling processes. Furthermore, it has the benefit of preventing other metaschedulers from disrupting local scheduling-policies because all cross-domain interactions are arbitrated at the Super-Metascheduler layer.