Abstract
This invention is adapted to identify uplinks vs access ports automatically using supervised Machine learning (ML) techniques. Once uplinks vs access ports are identified, the present methods automatically suppress/reduce the noise/non-actionable/non-important alarms from the access ports. Network Operations Centers (NOCs) will be able to change the uplinks vs access ports predicated by ML, and based on feedback from NOCs, required action will be taken against the access port alarms. This makes noise reduction and network operations faster and easier for the operators of enterprise networks.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Anonymous, "Systems and methods to differentiate access ports and uplinks in telecommunication networks using machine learning", Technical Disclosure Commons, (July 17, 2023)
https://www.tdcommons.org/dpubs_series/6062