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Pledger

financed

Performance optimization and edge computing orchestration for enhanced experienc...

Performance optimization and edge computing orchestration for enhanced experience and Quality of Service The Pledger project aims at delivering a new architectural paradigm and a toolset that will pave the way for next generation edge computing infrastructures, tackling the modern challenges faced today and coupling the benefits of l... see more

30/11/2022

ATOS SPAIN SA

5M€

Project Budget: 5M€

Project leader

ATOS SPAIN SA Estudio, desarrollo, aplicacion y comercializacion de la informatica en todos sus aspectos, gestion de centros de procesos de datos y venta,...

TRL 4-5 | 400K€

PARTICIPATION DEPralty Sin fecha límite de participación.

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Financing granted El organismo H2020 notifico la concesión del proyecto The day 2022-11-30

ICT-15-2019-2020: Cloud Computing Specific Challenge:Develop competitive cloud solutions based on advanced cloud platforms and service...

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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11 Participantes

ATOS SPAIN SA

611.39K€ | Leader

ICER BRAKES

451.20K€ | participant

ENG

520.00K€ | participant

RESEARCH UNIVERSITY INSTITUT...

638.75K€ | participant

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Project duration: 36 months Date Start: 2019-11-24
End date: 2022-11-30

Project leader

ATOS SPAIN SA Estudio, desarrollo, aplicacion y comercializacion de la informatica en todos sus aspectos, gestion de centros de procesos de datos y venta,...

TRL 4-5 | 400K€

Project Budget 5M€

participation deadline Sin fecha límite de participación.

Project description The Pledger project aims at delivering a new architectural paradigm and a toolset that will pave the way for next generation edge computing infrastructures, tackling the modern challenges faced today and coupling the benefits of low latencies on the edge, with the robustness and resilience of cloud infrastructures. The project will deliver a set of tools and processes that will enable a) edge computing providers to enhance the stability and performance effectiveness of their edge infrastructures, through modelling the overheads and optimal groupings of concurrently running services, runtime analysis and adaptation, thus gaining a competitive advantage b) edge computing adopters to understand the computational nature of their applications, investigate abstracted and understandable QoS metrics, facilitate trust and smart contracting over their infrastructures and identify how they can balance their cost and performance to optimise their competitiveness and monitor their SLAs. By providing this toolset, the project will allow also third parties to act as independent validators of QoS features in IoT applications, enabling new decentralised applications and business models, thus filling a large gap in the emerging edge/IoT computing market landscape. The project validates its results through three use cases which are very relevant for the innovative edge/cloud computing concepts it plans to introduce: namely in manufacturing, mixed reality and smart cities application domains.

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