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This project aims to integrate Grid technology into Earth Sciences, fostering collaboration among institutes like CNRS, ESA, and others. Objectives include disseminating Grid knowledge to the broader Earth Science community, improving user awareness, and bridging the technological gap between users and developers. Key challenges involve diverse middleware, evaluating emerging technologies, and standardizing tools. The initiative seeks to enhance data-intensive applications, facilitating e-collaboration and effective data exchange across various scientific disciplines.
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DEGREE Partner: Institute Informatics, SAS (IISAS, coordinator) CNRS (F), CGG (F), KNMI (NL), Dutch SPACE (NL),ESA (IT) FHG/SCAI (DE), GSRAS (RUS), University de Neuchatel (CH) INSERT PROJECT ACRONYM HERE BY EDITING THE MASTER SLIDE (VIEW / MASTER / SLIDE MASTER)
Atmosphere Cryosphere Biosphere Ocean The Earth Science world Coupled and inter-disciplinary processes Complex web of sensor Optimal Trajectory First guess Field Noisy observations Complex data analysis time
Objectives • Disseminate, promote uptake of Grid in wider ES community and integrate newcomers • Reduce the gap between ES Users and Grid Technology • Explain and convince ES users of Grid benefits and capability to tackle new and complex problems INSERT PROJECT ACRONYM HERE BY EDITING THE MASTER SLIDE (VIEW / MASTER / SLIDE MASTER)
DEGREE Challenges • Diversity of Grid middleware and tools • Problems of porting applications • Need standardization • Evaluating technologies that are under development • Need tight cooperation with developers to follow the evolution • Developers can benefit from the feedbacks • Still gaps between scientific users and grid technologies • Use portal technologies to hide Grid complexity • Improve Grid awareness of ES community • Complex requirements from applications • Different requirements of different applications • Applications may use non-standardized protocols/tools • Need to find common denominator of application requirements and existing tools functionality
GRID and Earth Science • Grid has great potential for ES: see results in DataGrid, CrossGrid, EGEE…. • Opportunity to larger scale analysis • Application on alert • Interactive collaboration on data access and exchange • ES applications need consolidated/stable GRID infrastructures • Not ES role to develop middleware • community wait for easier and operational way to interface applications • enable more processing-intensive, data-intensive and complex applications (data fusion, data assimilation, data mining, modelling …) • e-collaboration, • e.g. sharing of data sources, tools, means, models, algorithms … • Participation to international cooperative development (e.g. GTOS, GEOSS,…)
Key technology advancement • Follow technology advancement of Grid projects • Evaluating the technologies while they are still under development • Tight cooperation with developers to follow the direction of technology development • Actively give requirements and feedbacks from ES community to developers and influence the technology development • Data management • Job management • Web services
Overview of Project EGEE & other GRIDS Earth Science Community ESR VO EGEODE VO Requirements Applications Technologies Dissemination Feedback