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APSCC
2008
IEEE

Runtime Prediction Based Grid Scheduling of Parameter Sweep Jobs

3 years 10 months ago
Runtime Prediction Based Grid Scheduling of Parameter Sweep Jobs
—This paper examines the problem of predicting job runtimes by exploiting the properties of parameter sweeps. A new parameter sweep prediction framework GIPSy (Grid Information Prediction System) is introduced. Predictions are made based on prior runtime information and the parameters used to configure each job. The main objective is providing a tool combining development, simulation and application of prediction models within one framework. The different kinds of available sample selectors and models are discussed in detail. Results are presented for a quantum physics problem. A previously introduced scheduling technique and the implementation called PGS (Prediction based Grid Scheduling) is improved and presented in combination with GIPSy to obtain a real-world grid implementation that optimizes the distribution of parameter sweeps.
Sam Verboven, Peter Hellinckx, Frans Arickx, Jan B
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where APSCC
Authors Sam Verboven, Peter Hellinckx, Frans Arickx, Jan Broeckhove
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