Innovating Works
HORIZON-CL4-2022-DATA-01-02
Cognitive Cloud: AI-enabled computing continuum from Cloud to Edg...
ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes:
Sólo fondo perdido 0 €
European
This call is closed Esta línea ya está cerrada por lo que no puedes aplicar.
An upcoming call for this aid is expected, the exact start date of call is not yet clear.
Presentation: Consortium Consortium: Esta ayuda está diseñada para aplicar a ella en formato consorcio.
Minimum number of participants.
This aid finances Proyectos:

ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes:

A new AI-enabled Cloud-edge framework (Cognitive Cloud) that will automatically adapt to the growing complexity and data deluge by integrating seamlessly and securely diverse computing and data environments, spanning from core cloud to edge. This framework will respond and adapt intelligently to changes in application behaviour and data variability offering automatic deployment, mobility and secure adaptability of services from cloud to edge to diverse users and contexts. Resource management should take into account the openness and trustworthiness of the underlying resource management layers. The Cognitive Cloud will interface with all the layers in the computing continuum plane and will learn through the monitoring and management of resources deployed on Cloud/Edge. Applying AI-techniques will cater for dynamic load balancing to optimise energy efficiency and maintaining balanced data traffic and high, distributed, reliable throughput from cloud to edge according to the application and user needs and the underlying infrastructures. The framework will also dynamically adapt... see more

ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes:

A new AI-enabled Cloud-edge framework (Cognitive Cloud) that will automatically adapt to the growing complexity and data deluge by integrating seamlessly and securely diverse computing and data environments, spanning from core cloud to edge. This framework will respond and adapt intelligently to changes in application behaviour and data variability offering automatic deployment, mobility and secure adaptability of services from cloud to edge to diverse users and contexts. Resource management should take into account the openness and trustworthiness of the underlying resource management layers. The Cognitive Cloud will interface with all the layers in the computing continuum plane and will learn through the monitoring and management of resources deployed on Cloud/Edge. Applying AI-techniques will cater for dynamic load balancing to optimise energy efficiency and maintaining balanced data traffic and high, distributed, reliable throughput from cloud to edge according to the application and user needs and the underlying infrastructures. The framework will also dynamically adapt the processing capacity of the cloud to the varying supply of green energy in order to optimise its environmental footprint. Application developers will be empowered with greater control over network, computing and data infrastructures and services, and the end-user will benefit from seamless access to a continuous service environment.
Scope:Highly innovation cloud management layer making the best application of artificial intelligence techniques and AI models with automatic adaptation to the computing resources (i.e., connectivity, computing & storage) in cloud and edge to optimize where data are being processed (e.g. very close to the user at the edge, or in centralised capacities in the cloud). Seamless, transparent and trustworthy integration of diverse computing and data environments spanning from core cloud to edge, in an AI-enabled computing continuum. Automatic adaptation to the growing complexity of requirements and the exponential increase of data driven by IoT deployment across sectors, users and contexts while achieving optimal use of resources, holistic security and data privacy and credibility. Interoperability challenges among computing and data platform providers should be addressed and cloud federation approaches (based on open standards, interoperability models and open platforms) should be considered where appropriate.

In this topic the integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement.


Specific Topic Conditions:Activities are expected to start at TRL 2 and achieve TRL 5 by the end of the project – see General Annex B.




Cross-cutting Priorities:Digital AgendaArtificial Intelligence


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Temáticas Obligatorias del proyecto: Temática principal: Algorithms distributed parallel and network algo Semantic web technologies Privacy Internet of Things Software Design & Development Computing for servers data centres Trustworthy ICT Internet and semantic web database systems and li Information Security Artificial Intelligence Network technologies / Internetworking Digital Agenda Cryptology security privacy quantum crypto Linked (open) data Cloud Services System Software Cloud Architectures Real time data analytics Scalability Cloud Computing models Cloud trust & security Open Source Software Network security Cloud Infrastructures Anonymity Computer architecture pervasive computing ubiqui Networks (communication networks sensor networks

Consortium characteristics

Scope European : The aid is European, you can apply to this line any company that is part of the European Community.
Tipo y tamaño de organizaciones: The necessary consortium design for the processing of this aid needs:

characteristics of the Proyecto

Requisitos de diseño por participante: Duración:
Requisitos técnicos: ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes: ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes:
Do you want examples? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
Financial Chapters: The chapters of financing expenses for this line are:
Personnel costs.
Expenses related to personnel working directly on the project are based on actual hours spent, based on company costs, and fixed ratios for certain employees, such as the company's owners.
Subcontracting costs.
Payments to external third parties to perform specific tasks that cannot be performed by the project beneficiaries.
Purchase costs.
They include the acquisition of equipment, amortization, material, licenses or other goods and services necessary for the execution of the project
Other cost categories.
Miscellaneous expenses such as financial costs, audit certificates or participation in events not covered by other categories
Indirect costs.
Overhead costs not directly assignable to the project (such as electricity, rent, or office space), calculated as a fixed 25% of eligible direct costs (excluding subcontracting).
Madurez tecnológica: The processing of this aid requires a minimum technological level in the project of TRL 4:. Los componentes que integran determinado proyecto de innovación han sido identificados y se busca establecer si dichos componentes individuales cuentan con las capacidades para actuar de manera integrada, funcionando conjuntamente en un sistema. + info.
TRL esperado:

Characteristics of financing

Intensidad de la ayuda: Sólo fondo perdido + info
Lost Fund:
For the eligible budget, the intensity of the aid in the form of a lost fund may reach as minimum a 100%.
The funding rate for RIA projects is 100 % of the eligible costs for all types of organizations. The funding rate for RIA projects is 100 % of the eligible costs for all types of organizations.
Guarantees:
does not require guarantees
No existen condiciones financieras para el beneficiario.

Additional information about the call

incentive effect: Esta ayuda no tiene efecto incentivador. + info.
Respuesta Organismo: Se calcula que aproximadamente, la respuesta del organismo una vez tramitada la ayuda es de:
Meses de respuesta:
Muy Competitiva:
non -competitive competitive Very competitive
We do not know the total budget of the line
minimis: Esta línea de financiación NO considera una “ayuda de minimis”. You can consult the regulations here.

other advantages

SME seal: Tramitar esta ayuda con éxito permite conseguir el sello de calidad de “sello pyme innovadora”. Que permite ciertas ventajas fiscales.
HORIZON-CL4-2022-DATA-01 Cognitive Cloud: AI-enabled computing continuum from Cloud to Edge (RIA) ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes: A new AI-enabled Cloud-edge framework (Cogn...
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en consorcio: ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes: provide better technologies, tools and solu...
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en consorcio: ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes: improve the digital technologies, solutions...
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HORIZON-CL4-2022-DATA-01-01 Methods for exploiting data and knowledge for extremely precise outcomes (analysis, prediction, decision support), reducing complexity and presenting insights in understandable way (RIA)
en consorcio: ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes: Improving automated ways for extracting mea...
Cerrada | next call scheduled for the month of
HORIZON-CL4-2022-DATA-01-02 Cognitive Cloud: AI-enabled computing continuum from Cloud to Edge (RIA)
en consorcio: ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes: A new AI-enabled Cloud-edge framework (Cogn...
Cerrada | next call scheduled for the month of
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en consorcio: ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes: Agile and secure architectures for collabor...
Cerrada | next call scheduled for the month of