The Legion vision of a worldwide virtual computer
Communications of the ACM
Adaptive performance prediction for distributed data-intensive applications
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Predicting Application Run Times Using Historical Information
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Implementing Distributed Synthetic Forces Simulations in Metacomputing Environments
HCW '98 Proceedings of the Seventh Heterogeneous Computing Workshop
Scheduling Multi-Component Applications in Heterogeneous Wide-Area Networks
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
ValuePack: value-based scheduling framework for CPU-GPU clusters
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
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This paper investigates a novel scheduling paradigm, ensemble scheduling, that can be used to schedule mixed workloads consisting of singleand multi-resource applications in Grid environments. Ensemble scheduling exploits the pattern of prior resource requests for ensemble (multi-resource) applications to dynamically partition the workload across the system resources. We show via simulation that an ensemble-aware scheduler can provide better performance both for ensemble applications and the more common single resource applications in Grid environment.