NOC Meaning IT

Network Operations Centers – the centralized monitoring and control stations for telecom networks – primarily deal with fault management and performance management to maintain network efficiency and customer satisfaction. The already high degree of automation in Ericsson’s NOCs is being enhanced using machine intelligence technologies – advanced analytics, deep learning, machine reasoning – to drive intelligent network operations that will enable emerging 5G systems to be highly performant while also being easy to use.

Using this approach, we can use automatic identification of amalgamated and enriched conditions instead of looking at individual alarms one at a time. The data-driven capabilities automatically create composite conditions from historical information. In other words, pattern mining techniques are used to perform intelligent grouping of cross-domain alarms. These composite conditions are transposed as ML generated rules which aid in detection of groups of alarms which we call an incident.

Frequent patterns are item sets, subsequences or substructures that appear in a dataset with a certain level of frequency. Frequent pattern mining algorithms range from frequent item set mining, sequential pattern mining, structured pattern mining, correlation mining, associative classification and frequent pattern-based clustering. Finding patterns in data helps with mining associations, correlations and other interesting relationships among the input data. Telecom network data is adapted with extended variants of pattern mining algorithms to produce machine learning generated rules.