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CloudSkin

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Adaptive virtualization for AI enabled Cloud edge Continuum

"As of today, 80% of the data processing and analysis occurs in cloud data centers, and only 20% of processing occurs at the edge. This incipient exploitation of edge resources increases time to value and prevents business process... ver más

31/12/2025

URV

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

UNIVERSIDAD ROVIRA I VIRGILI No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 8

Fecha límite participación Sin fecha límite de participación.

Ver 12 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-11-17

HORIZON-CL4-2022-DATA-01-02: Cognitive Cloud: AI-enabled computi... ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes:

I+D

Cerrada hace 2 años

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Información adicional privada

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12 Participantes

URV

669.38K€ | Lider

IBM

N.D. | Participante

GERMAN CANCER RESEARCH CENTE...

367.20K€ | Participante

NEARBY COMPUTING

375.63K€ | Participante

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Duración del proyecto: 37 meses Fecha Inicio: 2022-11-17
Fecha Fin: 2025-12-31

Líder del proyecto

UNIVERSIDAD ROVIRA I VIRGILI No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 8

Presupuesto del proyecto 3M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto "As of today, 80% of the data processing and analysis occurs in cloud data centers, and only 20% of processing occurs at the edge. This incipient exploitation of edge resources increases time to value and prevents business processes, decisions, and intelligence to be taken outside of the data center, which prevents Europe to unlock an entire set of new opportunities to serve different industries and use cases in Europe in the next years. To help to materialize the European bid on a true continuum in the next few years, CloudSkin pursues to build a cognitive cloud continuum platform with three main innovations: 1. The CloudSkin platform will leverage AI/ML to optimize workloads, resources, energy, and network traffic for a rapid adaptation to changes in application behavior and data variability, re-configuraing the ""sweet spot"" between the cloud and the edge in the face of the rapid varying conditions; 2. The CloudSkin platform will also help users to achieve stack identicality across the Cloud-edge continuum, whereby the same (legacy) software stacks (e.g., MPI programs) running in data centers can seamlessly run at remote edges. The development of a new lightweight, portable virtualizaion abstraction will be paired with the development of new confidential abstractions to protect data while it is in use; and 3. CloudSkin will also contribute to prepare the needed infrastructure to integrate the new virtualized execution abstractions into the virtual resource continuum, particularly, for those Cloud-edge applications composed of small tasks with fast data access and sharing requirements. The infrastructure will expose the relevant control knobs to enable dynamic reconfiguration of resources as assisted by the AI/ML-based orchestration plane in the CloudSkin platform. Altogether, the above innovations are the strategic elements of what we envision as the new cognitive continuum for the cloud and edge""."

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