Building Model as a Service to support geosciences |
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| Affiliation: | 1. Earth Science Matters Foundation, Wageningen, The Netherlands;2. Department of Earth Sciences, University of Munich, Germany;3. Institute of Earth Sciences, University of Graz, Austria;4. Department of Earth Sciences, Mansoura University, Egypt;5. Geology Department, Lomé University, Togo;6. Department of Geography, Abomey-Calavi University, Benin;7. Department of Geology, South Eastern Kenya University, Kitui, Kenya;8. Ministry of Energy & Mineral Resources, Dar es Salaam, United Republic of Tanzania;9. Tectonics Group, Dept. of Earth Sciences, Fac. of Geosciences, Utrecht University, The Netherlands;1. Géosciences Environnement Toulouse, University of Toulouse, IRD, CNRS UMR 5563, Observatoire Midi-Pyrénées, 31400 Toulouse, France;2. Centre for Exploration Targeting, School of Earth Sciences, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia;3. Institut Fondamental d’Afrique Noire Cheikh Anta Diop, Université Cheikh Anta Diop, Dakar, Senegal;4. ONG-D « Le Soleil dans la Main », ASBL, 48 Duerfstrooss, L-9696 Winseler, Luxembourg;5. School of Geosciences, University of the Witwatersrand Johannesburg, 2000, South Africa;6. UNESCO, Route de Ngor, Enceinte Hotel Ngor Diarama, Dakar, Senegal;7. Teng–Tuuma Geoservices, 09 BP 859 Ouagadougou 09, Ouagadougou, Burkina Faso;8. Institut des Sciences de la Terre, Université Ch. Anta Diop, Dakar, Senegal;9. AMIRA International, Level 2 271 William St, Melbourne, VIC 3000, Australia;10. Département de Géologie, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, Dakar, Senegal;1. Department of Geology, University of Maryland, College Park, MD 20742, USA;2. Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China;3. Science and Technology on Reliability and Environmental Engineering Laboratory, Beijing Institute of Spacecraft Environment Engineering, Beijing 100094, China |
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| Abstract: | Modeling is a fundamental methodology for simulating the past, understanding the present and predicting the future of the geospatial systems and phenomena. However, modeling in the geospatial science poses several challenges, including complex model setup, repetition in model setup, requirement for large, scalable computing resources, and management of a large amount of model output. To address these challenges, we propose Model as a Service (MaaS) by leveraging the latest advancement of cloud computing. MaaS enables various geoscience models to be published as services, and these services can be accessed through a simple web interface. MaaS automates the processes of configuring machines, setting up and running models, and managing model outputs. The computing resources are automatically provisioned by MaaS in a cloud environment. A proof-of-concept MaaS prototype is presented using a global climate change model (ModelE). Experimental results show that the MaaS prototype significantly simplifies model setup, accelerates model simulation and enhances model output by providing a web-based, on-demand, scalable modeling environment. |
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| Keywords: | Cloud computing Web service Geospatial data Model Web EarthCube Big data |
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