Demo: AIML-as-a-service for SLA management of a digital twin virtual network service

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This demonstration presents an AI/ML platform that is offered as a service (AIMLaaS) and integrated in the management and orchestration (MANO) workflow defined in the project 5Growth following the recommendations of various standardization organizations. In such a system, SLA management decisions (scaling, in this demo) are taken at runtime by AI/ML models that are requested and downloaded by the MANO stack from the AI/ML platform at instantiation time, according to the service definition. Relevant metrics to be injected into the model are also automatically configured so that they are collected, ingested, and consumed along the deployed data engineering pipeline. The use case to which it is applied is a digital twin service, whose control and motion planning function has stringent latency constraints (directly linked to its CPU consumption), eventually determining the need for scaling out/in to fulfill the SLA.
Proceedings of: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
Measurement, Runtime, Digital twin, Conferences, Standards organizations, Pipelines, Standardization
Bibliographic citation
Baranda, J., Mangues-Bafalluy, J., Zeydan, E., Casetti, C., Chiasserini, C. F., Malinverno, M., Puligheddu, C., Groshev, M., Guimaraes, C., Tomakh, K., Kucherenko, D., & Kolodiazhnyi, O. (10-13 May, 2021). Demo: AIML-as-a-Service for SLA management of a Digital Twin Virtual Network Service [proceedings]. IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Vancouver, BC, Canada