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</script>5G realizes an impactful convergence, where Network Functions Virtualization (NFV) and cloud-native models become fundamental for profiting from the unprecedented capacity offered at the 5G Radio Access Network (RAN). For providing scalability and automation management over resources in 5G infrastructure, cloud-native and Platform as a service (PaaS) are proposed as solutions for paving the way for vertical applications in 5G. This paper leverages cloud-native models, PaaS, and virtual testbed instances to provide key platform provisioning and service life-cycle management features to a selected User Generated Content (UGC) scenario in multimedia applications. Specifically, this article and results show how service-level telemetry from a UGC cloud-native application is used to automatically scale system resources across the NFV infrastructure.
Previous version of the paper is accepted in IEEE Future Networks World Forum (FNWF), Montreal, 2022
Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Network function virtualization, Life cycle, Testbed as a services, Scalability, Radio access networks, Platform as a service, Computer Science - Networking and Internet Architecture, Scalings, 5G mobile communication systems, Auto-scaling, Automation management, User-generated, Testbeds, Case-studies, Kubernetes, Platform as a Service (PaaS), 5g testbed
Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Network function virtualization, Life cycle, Testbed as a services, Scalability, Radio access networks, Platform as a service, Computer Science - Networking and Internet Architecture, Scalings, 5G mobile communication systems, Auto-scaling, Automation management, User-generated, Testbeds, Case-studies, Kubernetes, Platform as a Service (PaaS), 5g testbed
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 8 | |
| downloads | 14 |

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