Task Schedule System for Ensemble Prediction Based on WSRF
Weimin Zhang
Abstract
Weimin Zhang
Abstract
This paper analyzes the task features of ensemble prediction,based on the Web Services Resource Framework(WSRF),it designs a dynamically adaptive ensemble prediction task schedule system.The adaptive schedule algorithm is proposed,according to the dynamic changes of grid nodes,it assigns the optimal number of CPU for model prediction task dealing with initial samples.The schedule system can save computational costs,while shorten the time of prediction.The practice operation results demonstrate the feasibility of the system.
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This paper analyzes the task features of ensemble prediction,based on the Web Services Resource Framework(WSRF),it designs a dynamically adaptive ensemble prediction task schedule system.The adaptive schedule algorithm is proposed,according to the dynamic changes of grid nodes,it assigns the optimal number of CPU for model prediction task dealing with initial samples.The schedule system can save computational costs,while shorten the time of prediction.The practice operation results demonstrate the feasibility of the system.
Key concepts: Computer science, Schedule, Task (project management), Grid, Grid computing, Ensemble forecasting, Ensemble learning, Grid system