Performance-Effective and Low-Complexity Task Scheduling for Heterogeneous Computing
IEEE Transactions on Parallel and Distributed Systems
Austrian Grid: Overview on the Project with Focus on Parallel Applications
ISPDC '06 Proceedings of the Proceedings of The Fifth International Symposium on Parallel and Distributed Computing
Applying Advance Reservation to Increase Predictability of Workflow Execution on the Grid
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
Specification, planning, and execution of QoS-aware Grid workflows within the Amadeus environment
Concurrency and Computation: Practice & Experience - First International Workshop on Workflow Systems in Grid Environments (WSGE2006)
Fault Tolerance and Recovery of Scientific Workflows on Computational Grids
CCGRID '08 Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid
On the dynamic resource availability in grids
GRID '07 Proceedings of the 8th IEEE/ACM International Conference on Grid Computing
Combined Fault Tolerance and Scheduling Techniques for Workflow Applications on Computational Grids
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
E-SCIENCE '09 Proceedings of the 2009 Fifth IEEE International Conference on e-Science
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Highly distributed systems such as Clouds and Grids are used to execute complex scientific workflow applications by researchers from various areas of science. While scientists rightfully expect efficient and reliable execution of their applications, current systems often cannot deliver the required Quality of Service. We propose a dynamic execution and scheduling heuristic able to schedule workflow applications with a high degree of fault tolerance, while taking into account soft deadlines. Experimental results show that our method meets soft deadlines in volatile highly distributed systems in the absence of historic failure trace data or complex failure models of the target system.