CogNet: A network management architecture featuring cognitive capabilities

Abstract

It is expected that the fifth generation mobile networks (5G) will support both human-to-human and machine-to-machine communications, connecting up to trillions of devices and reaching formidable levels of complexity and traffic volume. This brings a new set of challenges for managing the network due to the diversity and the sheer size of the network. It will be necessary for the network to largely manage itself and deal with organisation, configuration, security, and optimisation issues. This paper proposes an architecture of an autonomic self-managing network based on Network Function Virtualization, which is capable of achieving or balancing objectives such as high QoS, low energy usage and operational efficiency. The main novelty of the architecture is the Cognitive Smart Engine introduced to enable Machine Learning, particularly (near) real-time learning, in order to dynamically adapt resources to the immediate requirements of the virtual network functions, while minimizing performance degradations to fulfill SLA requirements. This architecture is built within the CogNet European Horizon 2020 project, which refers to Cognitive Networks

Artificial Intelligence as a Service (AI-aaS) on Software-Defined Infrastructure

“…There has been a surge of standardization and industrial activities to bring AI in networking and to offer AI services from communication and computation organizations, e.g., [18], [19].…”

Marco para el Análisis e Inferencia de Conocimiento en Redes 5G

“…De manera similar, el orquestador incluye algoritmos de optimización para la asignacióń optima de dichos recursos a lo largo de la infraestructura. COGNET [20] SDN, NFV, Aprendizaje de máquina…”

Key Technologies in the Context of Future Networks: Operational and Management Requirements

“…SON solutions are typically classified into three domains: self-protection, self-optimization and self-healing, which are the use cases proposed by SELFNET. Likewise, the COGNET Project [45] proposes the introduction of machine Learning, SDN and NFV in order to enhance monitoring tasks and autonomic network management. COGNET predicts the resource demand requirements and then changes its own configuration based on the network analysis (prediction, frauds, detecting error and security conditions).…”