Zhu, L.; Wang, Y.; Kong, Y.; Hu, Y.; Huang, K. A Containerized Service-Based Integration Framework for Heterogeneous-Geospatial-Analysis Models. ISPRS Int. J. Geo-Inf.2024, 13, 28.
Zhu, L.; Wang, Y.; Kong, Y.; Hu, Y.; Huang, K. A Containerized Service-Based Integration Framework for Heterogeneous-Geospatial-Analysis Models. ISPRS Int. J. Geo-Inf. 2024, 13, 28.
Zhu, L.; Wang, Y.; Kong, Y.; Hu, Y.; Huang, K. A Containerized Service-Based Integration Framework for Heterogeneous-Geospatial-Analysis Models. ISPRS Int. J. Geo-Inf.2024, 13, 28.
Zhu, L.; Wang, Y.; Kong, Y.; Hu, Y.; Huang, K. A Containerized Service-Based Integration Framework for Heterogeneous-Geospatial-Analysis Models. ISPRS Int. J. Geo-Inf. 2024, 13, 28.
Abstract
With the rapid development of Earth observation and information technology, people are increasingly able to access geospatial models. Geospatial models, based on principles of geography, utilize mathematical, statistical, as well as computer science methods to interpret and predict geographic phenomena. These models can be applied in the fields such as urban planning, environmental protection, traffic management to help decision-makers solve geography-related problems. However, integrating different geospatial models to collaboratively solve complex geographic problems still faces significant obstacles due to heterogeneity in model structure, dependencies, and running modes. In this study, we propose a containerized service-based integration framework for heterogeneous geospatial models (GeoCSIF). GeoCSIF consists of three main components: (1) Model encapsulation. It breaks down complicated geospatial models into independently manageable model units, and builds as unified service packages with a templated constraint method. (2) Model orchestration. It achieves an optimal combination of large-scale models with complex dependencies using a prioritization-based orchestration method. (3) Model publication. It incorporates heuristics into the model scheduling process, which can provide adaptive deployment for different model runs. Finally, a prototype system was developed to validate the effectiveness and progressiveness of GeoCSIF by the integrating process of heterogeneous flood disaster models.
Keywords
geospatial models; model integration framework; model servicized structure; prioritization-based orchestration; heuristic scheduling
Subject
Computer Science and Mathematics, Information Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
