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The LEXIS project will develop a large-scale HPC & Cloud BigData analytics industrial pilot test-bed to demonstrate high Technical-Readiness-Level software infrastructure dedicated to 3 use cases, which each have very high industry or social-economic impact: (1) Aeronautics (2) Weather & Climate (3) Catastrophe Alert systems. The focus will primarily be on how HPC and BigData/Cloud systems interact; how they can share data; and methods to compose workflows of tasks running on both cloud and HPC systems.
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ECMWF will participate by:
(a) contributing with requirements for the software infrastructure
(b) providing the global weather forecasts to feed local regional models
(c) designing and developing a data sharing API that will connect the multiple layers of the weather & climate test-bed
(d) exploring existing technologies for handling large-scale analysis of in-situ unstructured weather observations (e.g. mobile phones, smart cities, etc)
(e) exploring existing technologies for serving high resolution weather forecast products for end-user data analysis and post-processing in Cloud systems
ECMWF strategy alignment:
ECMWF will explore how we can use BigData/Cloud technologies for serving our data to our member states in BigData/Cloud systems and how these can interact with our HPC system.
Recruitment
There are two positions open at ECMWF for the LEXIS project, open until the 8th of February. Read more and apply here.
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Description of Work LEXIS_PartB_Section1-3.pdf
Description of Partners LEXIS_PartB-Section4-5.pdfCommission Evaluation 825532_LEXIS_ESR.pdf
- Twitter: @LexisProject
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