Nowadays, modern service compositions are increasingly adopted in critical scenarios where advanced Quality of Services (QoS) such as low latency, security, and privacy are fundamental. The landing platforms for the deployment of such compositions are progressively becoming capable to offer capabilities that support such advanced QoS requests (e.g., low latency via 5G network slice) spanning the Edge-Cloud Continuum. Actual deployment solutions focus mainly on resource allocation (i.e., CPU, memory, and storage), falling short of addressing advanced QoS and unleashing the true potential of the Edge-Cloud Continuum. In this paper, we present an automatic QoS-aware deployment solution for composed services in the Edge-Cloud Continuum. It compares QoS requests on the service composition with the capabilities of a given continuum in order to find, generate and execute suitable deployment recipes. Our preliminary experimental evaluation demonstrates the feasibility of our solution in a realistic scenario.
QoS-Aware Deployment of Service Compositions in 5G-Empowered Edge-Cloud Continuum / M. Anisetti, F. Berto, R. Bondaruc - In: CLOUD[s.l] : Institute of Electrical and Electronics Engineers (IEEE), 2023 Sep 25. - ISBN 979-8-3503-0481-7. - pp. 471-478 (( Intervento presentato al 16. convegno International Conference on Cloud Computing : 02-08 July tenutosi a Chicago (Illinois, USA) nel 2023 [10.1109/CLOUD60044.2023.00063].
QoS-Aware Deployment of Service Compositions in 5G-Empowered Edge-Cloud Continuum
M. AnisettiPrimo
;F. BertoPenultimo
;R. BondarucUltimo
2023
Abstract
Nowadays, modern service compositions are increasingly adopted in critical scenarios where advanced Quality of Services (QoS) such as low latency, security, and privacy are fundamental. The landing platforms for the deployment of such compositions are progressively becoming capable to offer capabilities that support such advanced QoS requests (e.g., low latency via 5G network slice) spanning the Edge-Cloud Continuum. Actual deployment solutions focus mainly on resource allocation (i.e., CPU, memory, and storage), falling short of addressing advanced QoS and unleashing the true potential of the Edge-Cloud Continuum. In this paper, we present an automatic QoS-aware deployment solution for composed services in the Edge-Cloud Continuum. It compares QoS requests on the service composition with the capabilities of a given continuum in order to find, generate and execute suitable deployment recipes. Our preliminary experimental evaluation demonstrates the feasibility of our solution in a realistic scenario.File | Dimensione | Formato | |
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