BPEL-Based Workflow Management and Parallel Job Scheduling in Ensemble Prediction

There are increasingly demanding for huge computing capabilities and complex processes managing technologies along with the development of large-scale parallel scientific computing applications. Taking ensemble prediction in climate domain for example, we discuss BPEL-based workflow for complex scientific computing management. The contributions of this paper are double-folds: on the framework side, we propose a job wrapping paradigm to wrap the environment depending applications with JSDL, and use a standard job submission system called GridSAM for job submitting and monitoring, which enables scientists to compose, monitor and run the applications easily with workflow system. On the algorithm side, we propose a job scheduling algorithm for the large-scale parallel applications based on job pool in the heterogeneous environment. As a result, the resources can be utilized according to their capabilities and we can achieve the load balance of resources.