Grid based data processing tools and applications for black sea catchment basin

Gorgan, Dorian; Abbaspour, Karim C.; Cau, Pierluigi; Bacu, Victor; Mihon, Danut; Giuliani, Gaston; Ray, Nicolas; Lehmann, Anthony

doi:10.1109/idaacs.2011.6072745

Cited by 9 publications

(8 citation statements)

References 8 publications

(9 reference statements)

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“…Finally, the wide adoption of OGC standards among project partners facilitated the development and implementation of different software solutions and enabled communication between different computing infrastructures (Charvat et al ; Giuliani and Gorgan ; Giuliani et al ). This allowed large amounts of environmental data to be processed on distributed computing infrastructures to analyze high‐resolution satellite images or execute large hydrological models (Gorgan et al ; Gorgan et al , b; Bacu et al ; Balcik et al ; Mihon et al ).…”

Section: Lessons Learned and Recommendationsmentioning

confidence: 99%

Bringing GEOSS Services into Practice: A Capacity Building Resource on Spatial Data Infrastructures (SDI)

Giuliani

Lacroix

Guigoz

et al. 2016

Transactions in GIS

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Data discoverability, accessibility, and integration are frequent barriers for scientists and a major obstacle for favorable results on environmental research. To tackle this issue, the Group on Earth Observations (GEO) is leading the development of the Global Earth Observation System of Systems (GEOSS), a voluntary effort that connects Earth Observation resources world-wide, acting as a gateway between producers and users of environmental data. GEO recognizes the importance of capacity building and education to reach large adoption, acceptance and commitment on data sharing principles to increase the capacity to access and use Earth Observations data. This article presents “Bringing GEOSS services into practice” (BGSIP), an integrated set of teaching material and software to facilitate the publication and use of environmental data through standardized discovery, view, download, and processing services, further facilitating the registration of data into GEOSS. So far, 520 participants in 10 countries have been trained using this material, leading to numerous Spatial Data Infrastructure implementations and 1,000 tutorial downloads. This workshop lowers the entry barriers for both data providers and users, facilitates the development of technical skills, and empowers people

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Section: Lessons Learned and Recommendationsmentioning

confidence: 99%

Bringing GEOSS Services into Practice: A Capacity Building Resource on Spatial Data Infrastructures (SDI)

Giuliani

Lacroix

Guigoz

et al. 2016

Transactions in GIS

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“…One of these applications is gSWAT (Bacu et al, 2011b;Gorgan et al, 2011), which is used to calibrate and validate SWAT hydrological models and to perform uncertainty analysis using the grid infrastructure. The gSWAT application contains a graphical user interface and a service related component.…”

Section: Introductionmentioning

confidence: 99%

“…Besides the system architecture, they also present some test cases along with the obtained performances, pointing out the benefits brought by the grid. The gSWAT application is available through the enviroGRIDS portal (see http://www.envirogrids.net/) together with other Earth Science oriented applications (Gorgan et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Comparative parallel execution of SWAT hydrological model on multicore and grid architectures

Rodila

Bacu

Gorgan

2012

IJWGS

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The paper presents a comparative analysis made on the calibration of a large-scale model, executed both on grid and multicore architectures. The goal is to highlight the advantages brought by the grid infrastructure over the multicore architecture, especially for large-scale applications, which require large amounts of data and a large number of executions. The large-scale application used as a case study for this research work is the calibration of a large-scale SWAT hydrological model, covering the Danube River Basin.Reference to this paper should be made as follows: Rodila, D., Bacu, V. and Gorgan, D. (2012) 'Comparative parallel execution of SWAT hydrological Model on multicore and grid architectures', Int.

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“…In the course of the enviroGRIDS (Building Capacity for a Black Sea Catchment Observation and Assessment System supporting Sustainable Development; 2009-2013) project, the GreenLand platform (Mihon, Colceriu, Bacu, & Gorgan, 2013) , a grid-based infrastructure, was developed and improved (Gorgan, et al, 2011) (Balcik, et al, 2013). The GreenLand platform provides GIS services related to spatial data management, processing, analysis, and visualization.…”

Section: Introductionmentioning

confidence: 99%

Integration of data and computing infrastructures for earth science: an image mosaicking use-case

et al. 2016

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In the recent years several solutions have been proposed to implement digital infrastructures for sharing and processing scientific data and observations. Spatial data infrastructures currently enable effective and efficient geo-information data sharing in many disciplinary communities, and innovative solutions are under development to support new open data and linked data paradigms. In parallel, High Performance Computing systems, computing grids and more recently cloud services, enable fast processing of big data. However, the integration of data and computing e-infrastructures is a raising issue in multidisciplinary research. In the context of the Global Earth Observation System of Systems (GEOSS) initiative, an innovative approach has been proposed. Taking into account that the heterogeneity of data and computing e-infrastructures and related technologies cannot be reduced beyond a certain extent, since it is due to the need of supporting use cases and scenarios from different scientific communities, a brokering solution has been designed and developed. A Business Process Broker (BPB) is a component which takes a formal description of a scientific business process, and translates it in an executable process which can be run on multiple and remote processing and workflow services. In doing this it solves all the interoperability issues in a (semi-)automated way. It allows lowering the entry barrier for both computing service providers -who do not have to comply with strict specifications -and users -who can work at higher level of process description. The paper presents and discusses a BPB use-case from the European project IASON, implementing an Earth Observation application involving satellite image mosaicking, HPC computing services and spatial data einfrastructures.

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Grid based data processing tools and applications for black sea catchment basin

Cited by 9 publications

References 8 publications

Bringing GEOSS Services into Practice: A Capacity Building Resource on Spatial Data Infrastructures (SDI)

Bringing GEOSS Services into Practice: A Capacity Building Resource on Spatial Data Infrastructures (SDI)

Comparative parallel execution of SWAT hydrological model on multicore and grid architectures

Integration of data and computing infrastructures for earth science: an image mosaicking use-case

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