Project description
Advanced computing platform for massive and exigent data processes
The EU-funded EVOLVE project tackles challenges at the centre of our data revolution: efficiency, scalability, and agility. Specifically, it will develop a solution based on three pillars: technologies from high-performance computing, Big Data software and cloud deployment and access capabilities. The project will also implement a hardware platform with heterogeneous processing and storage, including the systems software to take advantage of the hardware value, a Big Data stack with connectors for acceleration and an innovative Cloud-like deployment, and access layer. EVOLVE will reduce turnaround time for domain experts, industry and end users as well as capital and operational costs for computing infrastructure, and accelerate design and deployment of innovative services.
Objective
EVOLVE is a pan European Innovation Action with 19 key partners from 11 European countries introducing important elements of High-Performance Computing (HPC) and Cloud in Big Data platforms taking advantage of recent technological advancements to enable cost-effective applications in 7 different pilots to keep up with the unprecedented data growth we are experiencing . EVOLVE aims to build a large-scale testbed by integrating technology from: • The HPC world: An advanced computing platform with HPC features and systems software. • The Big Data world: A versatile big-data processing stack for end-to-end workflows. • The Cloud world: Ease of deployment, access, and use in a shared manner, while addressing data protection. EVOLVE aims to take concrete and decisive steps in bringing together the Big Data, HPC, and Cloud worlds, and to increase the ability to extract value from massive and demanding datasets. EVOLVE aims to bring the following benefits for processing large and demanding datasets: • Performance: Reduced turn-around time for domain-experts, industry (large and SMEs), and end-users. • Experts: Increased productivity when designing new products and services, by processing large datasets. • Businesses: Reduced capital and operational costs for acquiring and maintaining computing infrastructure. • Society: Accelerated innovation via faster design and deployment of innovative services that unleash creativity. EVOLVE intends to build and demonstrate the proposed testbed with real-life, massive datasets from demanding applications areas. To realize this vision, EVOLVE brings together technology and pilot partners from EU industry with demonstrated experience, established markets, and vested interest. Furthermore EVOLVE will conduct a set of 10-15 Proof-of-Concepts with stakeholders from the Big Data value chain to build up digital ecosystems to achieve a broader market penetration.
Fields of science
- natural sciencescomputer and information sciencescomputer securitydata protection
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencessoftwaresoftware applicationssystem software
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- natural sciencesbiological sciencesecologyecosystems
Keywords
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
92360 Meudon La Foret
France
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Participants (20)
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
40470 Dusseldorf
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78340 Les Clayes Sous Bois
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D15 HN66 DUBLIN
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70013 Irakleio
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Participation ended
E1 6QL Gibraltar
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
106 82 ATHINA
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7011 Trondheim
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1090 WIEN
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3720 232 Oliveira De Azemeis
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
31100 Toulouse
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153 41 Aghia Paraskevi Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
45100 Orleans
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2453 Luxembourg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
57123 Livorno
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
5200 Arezzo
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8010 Graz
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
8020 Graz
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80809 Munchen
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71000 Sarajevo
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
71306 Heraklion
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.