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An Emergency-Response Timing Constraint Workflow Model

  • Conference paper
Geo-Informatics in Resource Management and Sustainable Ecosystem (GRMSE 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 399))

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Abstract

In view of the requirements for high reliability, high time accuracy and complicated time constraints in emergency response workflow systems, a time constraints modeling method is proposed to meet these requirements. The method decomposes the time constraints model into three views, namely the resource view, the control view and the time view. In the resource view, time constraints prediction of resources capability is introduced to improve the accuracy of time prediction. In the control view, the Equivalent Mechanism and Exception Handling Mechanism are introduced to resolve time constraint conflicts and improve the success rate of the process execution. Finally, in the time view, a time flow diagram is constructed from the source view and the control view according to the time flow graph inference rule. In the time flow diagram, the runtime collision detection and resolution are preceded for both definition-time phase and runtime phase. Through the relevant comparison and experiment evaluation, the model is proved to be able to support the automatic detection and resolution for runtime time constraints conflict and improve the time accuracy and success rate of the process execution.

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© 2013 Springer-Verlag Berlin Heidelberg

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Liu, H., Chen, J., Ma, S. (2013). An Emergency-Response Timing Constraint Workflow Model. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2013. Communications in Computer and Information Science, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41908-9_15

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  • DOI: https://doi.org/10.1007/978-3-642-41908-9_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41907-2

  • Online ISBN: 978-3-642-41908-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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