Intent-Driven Network software. CampusInsight 2.0 is an upgrade to Huawei’s network insight engine and should be considered the intelligence that powers the intent. Network and application data is collected and turned into telemetry information in real time. Machine learning is then applied to monitor the network and predict problems. The network insight engine uses a digital twin of the network, so analysis can be applied and changes tested without affecting the production network. A digital twin is a virtual copy of the original item and allows companies to conduct real-time simulations
Fascinating. I usually see ‘intent’ used to describe ‘extracting meaning from customer input’, so this is a new usage. I’m used to deterministic networking protocols like BGP, so the idea of ML analytics and prediction makes me both interested and wary.
Make that ‘very interested and very wary.’ The prediction system seems like a way to address the worries though.