The REliable CApacity Provisioning and enhanced remediation for distributed cloud applications (RECAP) project aims to advance cloud and edge computing technology, to develop mechanisms for reliable capacity provisioning, and to make application placement, infrastructure management, and capacity provisioning autonomous, predictable and optimized. This paper presents the RECAP vision for an integrated edge-cloud architecture, discusses the scientific foundation of the project, and outlines plans for toolsets for continuous data collection, application performance modeling, application and component auto-scaling and remediation, and deployment optimization. The paper also presents four use cases from complementing fields that will be used to showcase the advancements of RECAP.
Reliable capacity provisioning for distributed cloud/edge/fog computing applications / Ostberg, P. -O.; Byrne, J.; Casari, P.; Eardley, P.; Anta, A. F.; Forsman, J.; Kennedy, J.; Le Duc, T.; Marino, M. N.; Loomba, R.; Pena, M. A. L.; Veiga, J. L.; Lynn, T.; Mancuso, V.; Svorobej, S.; Torneus, A.; Wesner, S.; Willis, P.; Domaschka, J.. - (2017), pp. 1-6. (Intervento presentato al convegno 2017 European Conference on Networks and Communications, EuCNC 2017 tenutosi a Oulu, Finlandia nel 12-15 June 2017) [10.1109/EuCNC.2017.7980667].
Reliable capacity provisioning for distributed cloud/edge/fog computing applications
Casari P.;
2017-01-01
Abstract
The REliable CApacity Provisioning and enhanced remediation for distributed cloud applications (RECAP) project aims to advance cloud and edge computing technology, to develop mechanisms for reliable capacity provisioning, and to make application placement, infrastructure management, and capacity provisioning autonomous, predictable and optimized. This paper presents the RECAP vision for an integrated edge-cloud architecture, discusses the scientific foundation of the project, and outlines plans for toolsets for continuous data collection, application performance modeling, application and component auto-scaling and remediation, and deployment optimization. The paper also presents four use cases from complementing fields that will be used to showcase the advancements of RECAP.| File | Dimensione | Formato | |
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