<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper firstly investigates the theory and method of geospatial information services and grid integration model in the geographic information grid, intending to locate the parameter coordinates of the grid integration model into the GeoSOT-3D profiling framework. Secondly, the framework of the consumption structure between its services and cloud resources is established by the elastic cloud model based on the computation and storage capabilities provided by the shared grid infrastructure. And use the steady-state theoretical foundation for analysis to assess the service quality of each type of service and reflect the service quality of the GIS service model as a whole. Finally, a GIS service platform based on the grid integration model and elastic cloud model is constructed based on the existing open geographic information standards, service technology system, and grid technology. The research results show that the operation speed of the GIS service platform proposed in this paper is increased by 16.3%, the estimated cost has been reduced by 23.3%, and the service evaluation of the platform is improved by 43.6%. The GIS service platform based on the grid integration model and elastic cloud model has the advantages of global uniformity, multi-scale and spatial 2-3D consistency, which provides a new model with high economy and rapid response time for geographic information processing.</p>
</abstract>

This paper firstly investigates the theory and method of geospatial information services and grid integration model in the geographic information grid, intending to locate the parameter coordinates of the grid integration model into the GeoSOT-3D profiling framework. Secondly, the framework of the consumption structure between its services and cloud resources is established by the elastic cloud model based on the computation and storage capabilities provided by the shared grid infrastructure. And use the steady-state theoretical foundation for analysis to assess the service quality of each type of service and reflect the service quality of the GIS service model as a whole. Finally, a GIS service platform based on the grid integration model and elastic cloud model is constructed based on the existing open geographic information standards, service technology system, and grid technology. The research results show that the operation speed of the GIS service platform proposed in this paper is increased by 16.3%, the estimated cost has been reduced by 23.3%, and the service evaluation of the platform is improved by 43.6%. The GIS service platform based on the grid integration model and elastic cloud model has the advantages of global uniformity, multi-scale and spatial 2-3D consistency, which provides a new model with high economy and rapid response time for geographic information processing.

The Innovation of GIS Service Mode Based on “Grid Integration” and “Elastic Cloud”

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper firstly investigates the theory and method of geospatial information services and grid integration model in the geographic information grid,...

The Innovation of GIS Service Mode Based on “Grid Integration” and “Elastic Cloud”

Online veröffentlicht: 02. Sept. 2023

Seitenbereich: -

Eingereicht: 08. Okt. 2022

Akzeptiert: 13. März 2022

DOI: https://doi.org/10.2478/amns.2023.2.00273

Schlüsselwörter
Geographic information, Grid integration, GeoSOT-3D, Elastic cloud model, Cloud resources

© 2023 Chenchun Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Innovation of GIS Service Mode Based on “Grid Integration” and “Elastic Cloud”

Online veröffentlicht: 02. Sept. 2023

Seitenbereich: -

Eingereicht: 08. Okt. 2022

Akzeptiert: 13. März 2022

DOI: https://doi.org/10.2478/amns.2023.2.00273

SchlüsselwörterGeographic information, Grid integration, GeoSOT-3D, Elastic cloud model, Cloud resources

© 2023 Chenchun Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Geographic information, Grid integration, GeoSOT-3D, Elastic cloud model, Cloud resources