“Experiential Network Intelligence”: porting AI to reconfigurable networks

“Experiential Network Intelligence”: porting AI to reconfigurable networks

Technology News |
By Julien Happich

The new network management architecture will use AI techniques and context-aware policies to adjust offered services based on changes in user needs, environmental conditions and business goals. The system is experiential, in that it learns from its operation and from decisions given to it by operators to improve its knowledge of how to act in the future.

It is anticipated such an AI-assisted approach will help operators automate their network configuration and monitoring processes, thereby reducing their operational expenditure and improving the use and maintenance of their networks.

Operators see human-machine interaction as slow, error-prone, expensive, and cumbersome. Programming different devices and building agile, personalized services makes it increasingly complex to integrate different standardized platforms in their network and operational environment. These human-machine interaction challenges are considered by operators as barriers to reducing the time to market of innovative and advanced services. They also lack an efficient and extensible standards-based mechanism to provide contextually-aware services (e.g., services that adapt to changes in user needs, business goals, or environmental conditions).

“The unique added value of the ETSI ISG ENI approach is to define new metrics to quantify the operator’s experience; this enables the optimization and adjustment of the operator’s experience over time, taking advantage of machine learning and reasoning.” says Ray Forbes, convenor of ETSI ISG ENI.

The group’s work will include the requirements of the operator’s experience in and across legacy and virtualized networks including 5G networks, and a model-driven architecture that supports adaptive and intelligent service operation through Cognitive Network Management. Different types of policies will be reviewed to drive adaptive behavioural changes using various AI (Artificial Intelligence) mechanisms. Existing mechanisms will be augmented and improved by using the networked intelligence defined by the ENI system.

This new group will drive innovative technologies in network telemetry, big data mechanisms to gather appropriate data at the right speed and scale, and machine learning for intelligent analysis. Innovative policy-based, model-driven functionality will also be needed to simplify and scale complex device configuration and monitoring.

The first meeting of the ISG ENI will take place at the ETSI premises in Sophia Antipolis, France, on 10-11 April 2017. The full list of members and participants in ISG ENI is available at: List of members and participants

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