European Grid Initiative: Integrated Sustainable P.. (EGI-InSPIRE)
European Grid Initiative: Integrated Sustainable Pan-European Infrastructure for Researchers in Europe
Start date: May 1, 2010,
End date: Dec 31, 2014
Scientific research is no longer conducted within national boundaries and is becoming increasing dependent on the large-scale analysis of data, generated from instruments or computer simulations housed in trans-national facilities, by using e Infrastructure (distributed computing and storage resources linked by high-performance networks).The 48 month EGI-InSPIRE project will continue the transition to a sustainable pan-European e-Infrastructure started in EGEE-III. It will sustain support for Grids of high-performance and high-throughput computing resources, while seeking to integrate new Distributed Computing Infrastructures (DCIs), i.e. Clouds, SuperComputing, Desktop Grids, etc., as they are required by the European user community. It will establish a central coordinating organisation, EGI.eu, and support the staff throughout Europe necessary to integrate and interoperate individual national grid infrastructures. EGI.eu will provide a coordinating hub for European DCIs, working to bring existing technologies into a single integrated persistent production infrastructure for researchers within the European Research Area.EGI-InSPIRE will collect requirements and provide user-support for the current and new (e.g. ESFRI) users. Support will also be given for the current heavy users as they move their critical services and tools from a central support model to ones driven by their own individual communities. The project will define, verify and integrate within the Unified Middleware Distribution, the middleware from external providers needed to access the e-Infrastructure. The operational tools will be extended by the project to support a national operational deployment model, include new DCI technologies in the production infrastructure and the associated accounting information to help define EGIâ€™s future revenue model.
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