ac3-project.eu/about/agile-and-cognitive-cloud-edge-continuum-management
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Agile and Cognitive Cloud-edge Continuum management - AC3
The AC3 project will employ an AI/ML algorithm to predict CECC resources (i.e., Cloud/ Edge Computing resources, networking, and Data) usage as well as far edge availability, which when combined with application profiles, will help determine the optimal placement of the microservices that will run the application on the CECC infrastructure. The application profiles will
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Agile and Cognitive Cloud-edge Continuum management - AC3
The AC3 project will employ an AI/ML algorithm to predict CECC resources (i.e., Cloud/ Edge Computing resources, networking, and Data) usage as well as far edge availability, which when combined with application profiles, will help determine the optimal placement of the microservices that will run the application on the CECC infrastructure. The application profiles will
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https://ac3-project.eu/about/agile-and-cognitive-cloud-edge-continuum-managementAgile and Cognitive Cloud-edge Continuum management - AC3
The AC3 project will employ an AI/ML algorithm to predict CECC resources (i.e., Cloud/ Edge Computing resources, networking, and Data) usage as well as far edge availability, which when combined with application profiles, will help determine the optimal placement of the microservices that will run the application on the CECC infrastructure. The application profiles will
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15- titleAgile and Cognitive Cloud-edge Continuum management - AC3
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- descriptionThe AC3 project will employ an AI/ML algorithm to predict CECC resources (i.e., Cloud/ Edge Computing resources, networking, and Data) usage as well as far edge availability, which when combined with application profiles, will help determine the optimal placement of the microservices that will run the application on the CECC infrastructure. The application profiles will
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- og:titleAgile and Cognitive Cloud-edge Continuum management - AC3
- og:descriptionThe AC3 project will employ an AI/ML algorithm to predict CECC resources (i.e., Cloud/ Edge Computing resources, networking, and Data) usage as well as far edge availability, which when combined with application profiles, will help determine the optimal placement of the microservices that will run the application on the CECC infrastructure. The application profiles will
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- twitter:descriptionThe AC3 project will employ an AI/ML algorithm to predict CECC resources (i.e., Cloud/ Edge Computing resources, networking, and Data) usage as well as far edge availability, which when combined with application profiles, will help determine the optimal placement of the microservices that will run the application on the CECC infrastructure. The application profiles will
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25- https://ac3-project.eu
- https://ac3-project.eu/about/ac3-consortium
- https://ac3-project.eu/about/agile-and-cognitive-cloud-edge-continuum-management
- https://ac3-project.eu/about/concept-and-methodology
- https://ac3-project.eu/about/objectives-ambition