Transition to Intelligent Network Automation

Transition to Intelligent Network Automation

By Enterprise Networking Mag | Wednesday, June 12, 2019

FREMONT, CA: The communication industry is rushing toward new technologies like 5G, Internet of Things (IoT), and cloud. Amidst such a dynamic environment, the transition to intelligent network automation is an essential consideration. With the exponential increase in data and applications, the current network that’s already overwhelmed requires a massive transformation too. Automated network management system (NMS) seems the best alternative.

An NMS promises wide variations in terms of network capabilities. It allows faster time to market the next-generation technologies like IoT and directly enables the services based on application requirements and intent, with rare user intervention. An NMS is designed to automatically recover from network degradation, thereby eliminating the downtime associated with human discovery and repair.

However, for smooth automation, the transition to NMSs must be effective. The added layer must not disrupt the existing operations. An overlay-based system is also an alternative that allows a phased deployment starting from the current processes and implementing automation as required.

Consideration while Transition

The transition must happen in a way that it complements the existing network systems and configurations. An operator needs to consider the impact of automation on all five levels of network management: configuration, fault management, accounting, performance, and security.

A multi-domain system is expected to automate the connection of interfaces in all directions pertaining to existing element management systems, operational support systems, and management and orchestration systems. Integration of the network performance, application performance, and virtualized infrastructure performance provide a detailed insight into the health of the network and service.

Impact on Operations and Services

Intelligent network automation with its service-oriented approach allows the organization to focus on customer requirements effectively. Moreover, an intelligent network enables the automatic management of network components and to seek out to the network issues without manual intervention. Further, an intelligent network management system inherently supports the service layer automation with the help of advanced robotics.

Intelligent network automation also enables the operators to provide their customers with a portal to control their service parameters. Finally, an intelligent network allows the operators to create unique network frameworks for business-specific digital transformations.

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