OpenGMS supports sharing of your modeling and simulation resources for geographic applications. Also, this platform provides a virtual community for collaboration among researchers from various domains. Through open web-distributed resource sharing and collaboration, this platform further contributes to open geographic modelling and simulation to enable broader participation and exploration.
Sharing models, data and computing resources as reusable resources.
Reusing models, data and computing resources as services in web environment.
Integrating different models, data and computing resources to solve real world problems.
Sharing models, data and computers as resuable resources.
Using models, data and computers as services in web environment.
Integrating different models, data and computers to solve real world problems.
The model repository collects model resources to build a dictionary where all models (also include related tools, algorithms, etc.) are organized in a formal way. Users can find a model with its detailed information, conceptual and logical descriptions, computable resources, developing history, and applications. This repository publishes model resources under the permission of the author.
The data repository collects data resources to build a community where users can explore modeling-related data through a universal center. Users can share their data resources to the data repository. Various data sharing sites can be also linked to support users so that they do not visit individual sites. This data repository publishes data and their related information under the permission of the author.
This platform provides model, data, and computing resources as corresponding services in an open web environment. Users can setup input data and run a model via a web client, and the related model will be executed in a remote computer node. Users can invoke a model service before boarding and obtain results when get off. A set of alternative solutions are available to convert original models as reusable services, to publish data files as reusable services and to share computers as available services.
Regarding a research topic or a specific problem, multi-disciplinary knowledge could be involved. Several thematic centers are constructed to help researchers collect models, data and other related resources. Topic-related or problem-related resources could be easily discovered within a thematic center. And various web applications would be offered in certain centers.
The model repository collects model resources to build a dictionary where all models (also include related tools, algorithms, etc.) are organized in a formal way. Users can find a model with its detailed information, conceptual and logical descriptions, computable resources, developing history, and applications. This repository publishes model resources under the permission of the author.
The data repository collects data resources to build a community where users can explore modeling-related data through a universal center. Users can share their data resources to the data repository. Various data sharing sites can be also linked to support users so that they do not visit individual sites. This data repository publishes data and their related information under the permission of the author.
This platform provides model, data, and computing resources as corresponding services in an open web environment. Users can setup input data and run a model via a web client, and the related model will be executed in a remote computer node. Users can invoke a model service before boarding and obtain results when get off. A set of alternative solutions are available to convert original models as reusable services, to publish data files as reusable services and to share computers as available services.
Regarding a research topic or a specific problem, multi-disciplinary knowledge could be involved. Several thematic centers are constructed to help researchers collect models, data and other related resources. Topic-related or problem-related resources could be easily discovered within a thematic center. And various web applications would be offered in certain centers.
Model Service Container is developed based on the open source NodeJS, and it mainly provides tools/functions for users to deploy a model as a reusable model-service which can also be managed in the model service container. It can be deployed in various computing platforms (e.g. Windows, Linux, Mac OS, etc.).
Data Service Container is developed based on the open source NodeJS project, and it mainly provides tools/functions for users to publish data as reusable data-services. It can be deployed in various computing platforms (e.g. Windows, Linux, Mac OS, etc.).
Model Wrapping Tools help users to wrap their own models as services. Tools include Programming Libraries for converting original program as service-enabled program (currently supporting C++, C#, Java and Python) and Model Service Packaging tool for packaging model execution related files as one zip file.
Model Service Container is developed based on the open source NodeJS, and it mainly provides tools/functions for users to deploy a model as a reusable model-service which can also be managed in the model service container. It can be deployed in various computing platforms (e.g. Windows, Linux, Mac OS, etc.).
Data Service Container is developed based on the open source NodeJS project, and it mainly provides tools/functions for users to publish data as reusable data-services. It can be deployed in various computing platforms (e.g. Windows, Linux, Mac OS, etc.).
Model Wrapping Tools are some tools that help users to wrap their own models as services. Tools include Programming Libraries for converting original program as service-enabled program (currently supporting C++, C#, Java and Python) and Model Service Packaging tool for packaging model execution related files as one zip file.
