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RECAP

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Cerrado

Reliable Capacity Provisioning and Enhanced Remediation for Distributed Cloud Ap...

Reliable Capacity Provisioning and Enhanced Remediation for Distributed Cloud Applications Large-scale computing systems are today built as distributed systems (for reasons of scale, heterogeneity, cost and energy efficiency) where components and services are distributed and accessed remotely through clients and devices... ver más

31/12/2019

UULM

5M€

Presupuesto del proyecto: 5M€

Líder del proyecto

UNIVERSITAET ULM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 11 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2019-12-31

ICT-06-2016: Cloud Computing Specific Challenge:Recent trends in cloud computing go towards the development of new paradigms (het...

I+D

Cerrada hace 9 años

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Características del participante

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

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

11 Participantes

UULM

636.88K€ | Lider

LAFITT

216.36K€ | Participante

UMEA UNIVERSITET

710.13K€ | Participante

ISL

718.65K€ | Participante

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Duración del proyecto: 38 meses Fecha Inicio: 2016-10-27
Fecha Fin: 2019-12-31

Líder del proyecto

UNIVERSITAET ULM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 5M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Large-scale computing systems are today built as distributed systems (for reasons of scale, heterogeneity, cost and energy efficiency) where components and services are distributed and accessed remotely through clients and devices. In some systems, in particular latency-sensitive or high availability systems, components are also placed closer to end-users (in, e.g., radio base stations and other systems on the edge of access networks) in order to increase reliability and reduce latency - a style of computing often referred to as edge or fog computing. However, while recent years have seen significant advances in system instrumentation as well as data centre energy efficiency and automation, computational resources and network capacity are often provisioned using best effort provisioning models and coarse-grained quality of service (QoS) mechanisms, even in state-of-the-art data centres. These limitations are seen as a major hindrance in the face of the coming evolution of(IoT and the networked society, and have even today manifested in, e.g., a limited cloud adoption of systems with high reliability requirements such as telecommunications infrastructure and emergency services systems. RECAP goes beyond the current state of the art and develop the next generation of cloud/edge/fog computing capacity provisioning via targeted research advances in cloud infrastructure optimization, simulation and automation. Building on advanced machine learning, optimization and simulation techniques. The overarching result of RECAP is the next generation of agile and optimized cloud computing systems. The outcomes of the project will pave the way for a radically novel concept in the provision of cloud services, where services are instantiated and provisioned close to the users that actually need them by self-configurable cloud computing systems.

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