Project description
Cloud-edge continuum application management through a serverless framework
Cognitive cloud-edge continuum platforms face unsolved challenges that stem mainly from the constraints of resource devices, infrastructure heterogeneity and the need to meet criteria such as performance, resilience, security, data sovereignty and energy efficiency. A disaggregated architecture is required to manage and adapt resources and workloads and respond to incidents and security threats through AI, automation and portability. This in turn requires computationally intensive data processing functions executed outside edge devices, sensors and actuators. The EU-funded SovereignEdge.Cognit project will develop a new distributed function-as-a-service (FaaS) paradigm for edge application management and smart orchestration. This AI-powered adaptive serverless framework will provide secure and portable access to a continuous data processing environment.
Objective
An effective platform for the cognitive cloud-edge continuum must address a number of unsolved challenges, many of them derived from constrained resource devices, infrastructure heterogeneity, and the need to meet criteria such as performance, resilience, security, data sovereignty, and energy efficiency. A disaggregated architecture is required, making use of AI, automation, and portability to manage and adapt resources and workloads, and to respond in real time to possible incidents and security threats.
Edge application developers willing to speed up computation, save energy, and cut costs will need a way to combine their edge devices with the many resources available across the cloud-edge continuum. This innovative approach requires computationally-intensive data processing functions to be easily executed outside edge devices, sensors, and actuators. It is with that vision in mind that this project proposes a new distributed Function-as-a-Service (FaaS) paradigm for edge application management and smart orchestration, which will change how applications and services are deployed and executed in the cloud-edge continuum. Our AI-enabled adaptive serverless framework will provide applications with secure and portable access to a continuous data processing environment that abstracts the large-scale, geo-distributed, and low-latency capabilities provided by the cloud-edge continuum.
The Consortium combines innovative open source companies in Europe, high-impact research organizations, and several edge application providers. Our research will be validated in relevant application domains, and will establish an ecosystem with links to industrial initiatives. This project will be transformative for the emerging EU edge ecosystem, providing resources and knowledge for start-ups, SMEs, and industry leaders seeking to look beyond centralized platforms and hyperscalers. It will increase European autonomy not only in data processing but also in strategic edge technologies.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- social sciences sociology industrial relations automation
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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HORIZON.2.4.7 - Advanced Computing and Big Data
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-RIA - HORIZON Research and Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-CL4-2022-DATA-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
28223 POZUELO DE ALARCON
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.