Often, automated procedures detect all events without identifying the correlation or cause among these alarms. Automated situation detection allows for root-cause analysis for alarms by clustering alarms into situations and allowing users to understand each situation’s classification – whether it is a root-cause alarm or simply symptoms and noise of the real cause of the alarm.
Problem
Situation detection requires analysis of multiple sources. In a typical CSP’s network, automated procedures designed to detect threats must monitor hundreds of thousands of events at the same time. Machine learning is used to analyze and remove the reasons reported for multiple events by all media (network elements, network management systems, performance monitoring parts and systems monitoring the quality of services, as well as reports from customers).
Solution
Machine learning-based situation detection has the potential to identify events that do not conform to the expected, and to uncover correlations between them. This is much more effective than similar work that is currently carried out manually. When the situation is detected, it can be prioritized based on its identification. Cases with the highest priority can be analyzed first, therefore speeding up the entire process and ensuring that the system can operate at the highest capacity possible. The time required to complete this step is also an important parameter, as this is the stage at which services are most likely to be available for CSPs’ customers.
Value
Boost your productivity and asset utilization by ensuring that situations detected in your system are identified and classified, thereby reducing the overall number of situations in favor of recognizing the root-cause of these situations. The main benefit of ASD is to further reduce the number of events leading to the definition of a single failure. Each event typically generates work in many different teams, which leads to inefficiency within your organization. The work required by your teams will be categorized by root cause of the situations, and the symptoms or noise which are typically reported as well will disappear once the source element has been repaired. It is expected that machines will lead this process continuously, much faster than their experienced operators. In some cases, the machines may outpace the experts.