Journal
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Volume 12, Issue 5, Pages -Publisher
MDPI
DOI: 10.3390/ijgi12050198
Keywords
landslide; early warning; LEWS; model repository
Ask authors/readers for more resources
This paper proposes a framework for dynamic management and integration of models in LEWS by using Web APIs and Docker to standardize model interfaces and facilitate model deployment. It also utilizes Kubernetes and Istio to enable microservice architecture, dynamic scaling, and high availability of models. Additionally, a model repository management system is used to manage and orchestrate model-related information and application processes. The results demonstrate that this approach supports efficient deployment, management, and integration of models within the system, providing a rapid and feasible implementation method for upgrading, expanding, and maintaining LEWS in response to changes in business requirements.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available