A Dynamic Management and Integration Framework for Models in Landslide Early Warning System
Bibliographic Data
| ID | 22034686 |
|---|---|
| Authors | Liang Liu (0000-0003-1372-4596, Central South University), L B Liu (0009-0005-6859-6917, Central South University), Jiqiu Deng (0000-0003-0729-1018, Central South University, corresponding author), Yu Tang (0000-0001-5231-6347, Central South University) |
| Year | 2023 |
| Volume | 12 |
| Issue | 5 |
| Pages | 198 |
| Publication date | 2023-05-13 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi12050198 |
| OpenAlex | W4381573018 |
| Language | EN |
| Citations received | 1 |
| References cited | 43 |
The landslide early warning system (LEWS) relies on various models for data processing, prediction, forecasting, and warning level discrimination. The potential different programming implementations and dependencies of these models complicate the deployment and integration of LEWS. Moreover, the coupling between LEWS and models makes it hard to modify or replace models rapidly and dynamically according to changes in business requirements (such as updating the early warning business process, adjusting the model parameters, etc.). This paper proposes a framework for dynamic management and integration of models in LEWS by using WebAPIs and Docker to standardize model interfaces and facilitate model deployment, using Kubernetes and Istio to enable microservice architecture, dynamic scaling, and high availability of models, and using a model repository management system to manage and orchestrate model-related information and application processes. The results of applying this framework to a real LEWS demonstrate that our approach can support efficient deployment, management, and integration of models within the system. Furthermore, it provides a rapid and feasible implementation method for upgrading, expanding, and maintaining LEWS in response to changes in business requirements
Business process · Database · Early warning system · Implementation · Software deployment · Software engineering · System integration · Systems engineering · Warning system · Work in process · Anomaly Detection Techniques and Applications · Computer Science · Engineering · Seismology and Earthquake Studies · Software System Performance and Reliability
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |