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Articles

Geoscience model service integrated workflow for rainstorm waterlogging analysis

ORCID Icon, , , ORCID Icon, , , & show all
Pages 851-873 | Received 24 Nov 2020, Accepted 01 Mar 2021, Published online: 09 Mar 2021

Figures & data

Figure 1. Schematic diagram of depression.

Figure 1. Schematic diagram of depression.

Figure 2. Modeling process of the depression identification model.

Figure 2. Modeling process of the depression identification model.

Figure 3. Schematic of general OGC WPS service invoking strategy.

Figure 3. Schematic of general OGC WPS service invoking strategy.

Table 1. Assembly of input parameters.

Figure 4. WPSExecuteNp WPS asynchronous service invoking in the BPEL workflow.

Figure 4. WPSExecuteNp WPS asynchronous service invoking in the BPEL workflow.

Table 2. WPSExecuteNp workflow operation descriptions.

Figure 5. The first step of the BPEL design.

Figure 5. The first step of the BPEL design.

Figure 6. BPEL process design of the waterlogging analysis model.

Figure 6. BPEL process design of the waterlogging analysis model.

Figure 7. The deployment of a distributed service chain.

Figure 7. The deployment of a distributed service chain.

Figure 8. Test1 traditional centralized mode.

Figure 8. Test1 traditional centralized mode.

Figure 9. Test2 geoscience model service integrated workflow-based waterlogging analysis.

Figure 9. Test2 geoscience model service integrated workflow-based waterlogging analysis.

Table 4. The names and URL addresses of services.

Figure 10. Experiment on geoscience model service integrated workflow-based waterlogging analysis.

Figure 10. Experiment on geoscience model service integrated workflow-based waterlogging analysis.

Table 3. Two test experiments.

Figure 11. The simulation of server failure in Test2.

Figure 11. The simulation of server failure in Test2.

Data availability statement

The data that support the findings of this study are available from the corresponding author, FH, upon reasonable request.

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