Architecture and key technologies of grid geographic information system

Fang, Yu; Huang, Zhou; Chen, Bin; Wu, Lun; Yin, Dafei

doi:10.1007/s11431-008-5011-8

Cited by 9 publications

(4 citation statements)

References 8 publications

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“…There have been some success stories from the intersection field of grid computing and GIS. In some studies, the grid-computing technology is used to achieve effective geospatial data management, complex geospatial analyses, and parallel processing on remote sensing data (Shen et al 2004, Aydin et al 2008, Fang et al 2008.…”

Section: Please Scroll Down For Articlementioning

confidence: 99%

Toward an integrated framework for geosensor grid

Huang

Fang

Mao

2010

International Journal of Digital Earth

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Grid computing is deemed as a good solution to the digital earth infrastructure. Various geographically dispersed geospatial resources can be connected and merged into a 'supercomputer' by using the grid-computing technology. On the other side, geosensor networks offer a new perspective for collecting physical data dynamically and modeling a real-time virtual world. Integrating geosensor networks and grid computing in geosensor grid can be compared to equipping the geospatial information grid with 'eyes' and 'ears.' Thus, real-time information in the physical world can be processed, correlated, and modeled to enable complex and advanced geospatial analyses on geosensor grid with capability of high-performance computation. There are several issues and challenges that need to be overcome before geosensor grid comes true. In this paper, we propose an integrated framework, comprising the geosensor network layer, the grid layer and the application layer, to address these design issues. Key technologies of the geosensor grid framework are discussed. And, a geosensor grid testbed is set up to illustrate the proposed framework and improve our geosensor grid design.

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Section: Please Scroll Down For Articlementioning

confidence: 99%

Toward an integrated framework for geosensor grid

Huang

Fang

Mao

2010

International Journal of Digital Earth

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“…With the continuous development of geographic information services, more and more organizations and enterprises have constructed geographic information service platforms nationwide. Literature [6] designed and developed a security information service platform for college students using ASP.NET technology and used this platform to develop a school population information management system and an information service management system to provide refined population management as well as resident facility location query functions for students. Thus, the platform provides more convenient travel services for users.…”

Section: Introductionmentioning

confidence: 99%

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

Wang,

Ma,

Hui

2023

Applied Mathematics and Nonlinear Sciences

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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.

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“…Recently more and more attentions have been paid on Spatial Grid, which represents a highly dynamic distributed system that connects various geographically dispersed spatial data resources [1]. Upon the Spatial Grid, various distributed applications can be achieved without knowing the backend details about data distribution information [2].…”

Section: Introductionmentioning

confidence: 99%

A Relation Model Based Spatial Grid Catalogue

Huang

Gui

Xie

et al. 2010

2010 Second International Conference on Advanced Geographic Information Systems, Applications, and Services

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Spatial Grid provides a well solution to effective sharing of geographically dispersed spatial data. Various distributed spatial task processing like query can be achieved upon it. To support task allocation in Spatial Grid, effective and reliable spatial grid catalogue should be developed since it provides resource distribution information. This paper proposes a novel relation model based spatial grid catalogue. Design and implementation details for constructing our proposed spatial grid catalogue are discussed. Practical experiments also reveal the relation model based spatial grid catalogue can effectively discover appropriate grid resources and help make better spatial task allocation.

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Architecture and key technologies of grid geographic information system

Cited by 9 publications

References 8 publications

Toward an integrated framework for geosensor grid

Toward an integrated framework for geosensor grid

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

A Relation Model Based Spatial Grid Catalogue

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