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Workflow Management System for Numerical Weather Prediction

  • Weifeng WangEmail author
  • Wen Zhang
  • Qunbo Huang
  • Tingfang Wang
  • Kaijun Ren
Conference paper
  • 358 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 602)

Abstract

Numerical weather prediction system is a complicated software system which generally involves thousands of computational processes which must be controlled and operated automatically by computers for the efficiency and correctness. This paper designs and implements a workflow management system. With this system, a new kind of workflow process definition language is adopted and the corresponding parser is accordingly developed. On the base of the workflow process definition file, a workflow execution engine is deployed to automatically execute all defined business processes or jobs. During job execution, The monitoring commands which were inserted into the job shell script files in advance can be used to collect related information which also can be displayed on the monitor interface. Moreover, checkpoint strategies are employed to quickly recovery system after it crashes abnormally. Finally, a workflow demo is taken to demonstrate the management functions and operating rules of the system.

Keywords

Workflow management system Workflow process definition language Monitoring commands Checkpoint 

Notes

Acknowledgement

This work is supported by National Natural Science Foundation of China (Grant No. 61572510, 61502511) and China National Special Fund for Public Welfare (Grant No. GYHY201306003).

References

  1. 1.
    Haltiner, G.J.: Numerical Weather Prediction. Wiley, New York (1971)Google Scholar
  2. 2.
    Lawrence, P.: Workflow Handbook 1997. Workflow Management Coalition. Wiley, New York (1997)Google Scholar
  3. 3.
    Elnozahy, E.N., Alvisi, L., Wang, Y., Johnson, D.B.: A survey of rollback-recovery protocols in message-passing systems. ACM Comput. Surv. 34(3), 375–408 (2002)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  • Weifeng Wang
    • 1
    Email author
  • Wen Zhang
    • 2
  • Qunbo Huang
    • 1
  • Tingfang Wang
    • 1
  • Kaijun Ren
    • 2
  1. 1.Meteorological Centre of Air ForceBeijingPeople’s Republic of China
  2. 2.Academy of Ocean Science and EngineeringNational University of Defense TechnologyChangshaPeople’s Republic of China

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