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Adaptive & learning-aware orchestration of content delivery services

Boekbijdrage - Boekhoofdstuk Conferentiebijdrage

Ondertitel:Adaptive and learning-aware orchestration of content delivery services
Many media services undergo a varying workload, showing periodic usage patterns or unexpected traffic surges. As cloud and NFV services are increasingly softwarized, they enable a fully dynamic deployment and scaling behaviour. At the same time, there is an increasing need for fast and efficient mechanisms to allocate sufficient resources with the same elasticity, only when they are needed. This requires adequate performance models of the involved services, as well as awareness of those models in the involved orchestration machinery. In this paper we present how a scalable content delivery service can be deployed in a resource- and time-efficient manner, using adaptive machine learning models for performance profiling. We include orchestration mechanisms which are able to act upon the profiled knowledge in a dynamic manner. Using an offline profiled performance model of the service, we are able to optimize the online service orchestration, requiring fewer scaling iterations.
Boek: 2020 6th IEEE Conference on Network Softwarization (NetSoft), Proceedings : Bridging the Gap between Ai and Network Softwarization
Pagina's: 77 - 84
ISBN:9781728156842
Jaar van publicatie:2020
Toegankelijkheid:Open