Future communication systems and networks, namely smart networks, are becoming the foundation of the human-centric Internet. They provide an energy-efficient and high-performance infrastructure where NGI (Next Generation Internet) and other digital services can be developed and deployed. The development of new services provided to the end user led to the technology of providing a network as a service NaaS (Network as a Service) implementation, which should be an intelligent, decentralized and highly automated network. The architecture of the intelligent network is already software-defined and provides functions that highly exceed the connectivity capabilities: multi-service and mobile edge computing will allow data to be stored and processed locally at the edges of the network to guarantee quick response and efficient use of network resources. But assignment the required amount of computing resources and determining their location remains an incompletely resolved issue. This paper proposes a method of dynamic reconfiguration of computing resources to support NaaS technology. The method allows you to manage the placement and determination of the required amount of network functions resources to optimize the amount of computing resources allocated to the network function in the telecom operator infrastructure, and also binds the performance of the network virtualized function with the amount of resources assigned to it, takes into account the hybridity of the communications environment.
Keywords
VirtualizationNetwork Function Virtualization (NFV)Machine Learning (ML)Network as a Service (NaaS)Traffic Management SystemResource ConfigurationNetwork Reconfiguration.
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