Towards Spatial Data Infrastructures in the Clouds

Schäffer, Bastian; Baranski, Bastian; Foerster, Theodor

doi:10.1007/978-3-642-12326-9_21

Cited by 42 publications

(15 citation statements)

References 3 publications

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“…The further improvement of distributed geoprocessing (Mü ller, and the usage of cloud computing (Schäffer, Baranski, and Foerster 2010;Yang et al 2011) show how future GDI can be enhanced to offer more powerful analysis capabilities. All these activities show a number of organizational and technological components that could be clearly beneficial in implementing next generation GDI and Digital Earth to seamlessly integrate distributed environmental observations and datasets, environmental modelling systems, and processing and analysis functions.…”

Section: The Status On Infrastructures For Sharing Geoinformationmentioning

confidence: 99%

Scientific geodata infrastructures: challenges, approaches and directions

Bernard

Mäs

Müller

et al. 2013

International Journal of Digital Earth

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Based on various experiences in developing Geodata Infrastructures (GDIs) for scientific applications, this article proposes the concept of a Scientific GDI that can be used by scientists in environmental and earth sciences to share and disseminate their research results and related analysis methods. Scientific GDI is understood as an approach to tackle the science case in Digital Earth and to further enhance e-science for environmental research. Creating Scientific GDI to support the research community in efficiently exchanging data and methods related to the various scientific disciplines forming the basis of environmental studies poses numerous challenges on today's GDI developments. The paper summarizes requirements and recommendations on the publication of scientific geospatial data and on functionalities to be provided in Scientific GDI. Best practices and open issues for governance and policies of a Scientific GDI are discussed and are concluded by deriving a research agenda for the next decade.

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Section: The Status On Infrastructures For Sharing Geoinformationmentioning

confidence: 99%

Scientific geodata infrastructures: challenges, approaches and directions

Bernard

Mäs

Müller

et al. 2013

International Journal of Digital Earth

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“…From a software architectural perspective, the concept of cloud computing or the concept of web services can be followed (Figure 1). In cloud computing, storage and computational facilities are no longer located on single computers, but distributed over remote servers operated by third-party providers, for example, Amazon Web Services or Google Cloud Platform (Schaeffer, Baranski, and Foerster 2010). In a cloud-based solution, a data provider puts the data to the cloud and it is the cloud provider's responsibility to manage the data and to offer scalable, on-demand and cost-effective processing services to users.…”

Section: Web-based Access To and Processing Of Big Earth Datamentioning

confidence: 99%

Geospatial web services pave new ways for server-based on-demand access and processing of Big Earth Data

Wagemann

Clements

Figuera

et al. 2017

International Journal of Digital Earth

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“…The services they provide include the provision of resources for processing large datasets, the automatizing of processing tasks, the reuse of algorithms, the modeling and documentation of workflows. Among others, the following advantages of online geoprocessing environments have been documented: the integration of heterogeneous data and services [21]; faster update cycles [22]; the use of open-source software to make systems cost-effective [22]; grid technology and cloud technology supporting the development of low-cost, scalable and efficient systems [23,24]; and the reuse of existing services for reducing development time [25].…”

Section: E-science and The Geographic Information Domainmentioning

confidence: 99%

“…Cloud computing refers to distributed computing in a network that can be requested on demand. Infrastructure, platform, software and data are provided as services in cloud computing [24,33].…”

Section: The Geospatial Cyberinfrastructurementioning

confidence: 99%

Geospatial Cyberinfrastructure and Geoprocessing Web—A Review of Commonalities and Differences of E-Science Approaches

Hofer

2013

IJGI

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Online geoprocessing gains momentum through increased online data repositories, web service infrastructures, online modeling capabilities and the required online computational resources. Advantages of online geoprocessing include reuse of data and services, extended collaboration possibilities among scientists, and efficiency thanks to distributed computing facilities. In the field of Geographic Information Science (GIScience), two recent approaches exist that have the goal of supporting science in online environments: the geospatial cyberinfrastructure and the geoprocessing web. Due to its historical development, the geospatial cyberinfrastructure has strengths related to the technologies required for data storage and processing. The geoprocessing web focuses on providing components for model development and sharing. These components shall allow expert users to develop, execute and document geoprocessing workflows in online environments. Despite this difference in the emphasis of the two approaches, the objectives, concepts and technologies they use overlap. This paper provides a review of the definitions and representative implementations of the two approaches. The provided overview clarifies which aspects of e-Science are highlighted in approaches differentiated in the geographic information domain. The discussion of the two approaches leads to the conclusion that synergies in research on e-Science environments shall be extended. Full-fledged e-Science environments will require the integration of approaches with different strengths.

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Towards Spatial Data Infrastructures in the Clouds

Cited by 42 publications

References 3 publications

Scientific geodata infrastructures: challenges, approaches and directions

Scientific geodata infrastructures: challenges, approaches and directions

Geospatial web services pave new ways for server-based on-demand access and processing of Big Earth Data

Geospatial Cyberinfrastructure and Geoprocessing Web—A Review of Commonalities and Differences of E-Science Approaches

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