Optimi

xNetHealing automates the continuous execution of advanced analyses, doing intelligent cross-correlation between performance and configuration management information to detect current and upcoming problems in real time, diagnose the root causes for these problems and automatically suggest a cure for them.

xNetHealing is an innovative multi-vendor and multi-technology Self-Healing solution that allows operators to streamline their performance engineering processes whilst at the same time ensuring the Quality of Service levels and response times that are required to satisfy a customer base with mounting expectations, with the subsequent OPEX rationalization, increased customer loyalty and improved EBITDA.

Fully integrated with the operator’s data warehouse landscape, xNetHealing monitors current and historic network information as fast as it becomes available, running a set of intelligent analyses that embed a significant deal of performance and troubleshooting engineering know-how, and pointing out the detected problems, as well as symptoms of upcoming problems. Upon the provision of a prioritized list of issues to focus at, xNetHealing also carries out a deeper automatic investigation in order to find out the most likely root causes for the observed system behaviour, providing a set of instructions to follow so that the spotted problem can be solved.

xNetHealing processes a wide range of inputs when running the different analyses. Among others, the solution considers current and historical sets of performance indicators and parameters settings. In addition, it also extracts useful information from call traces and leverages the insight provided by the different alarms available in the system. Such comprehensive set of inputs allows a powerful and multidisciplinary set of analyses, adopting a wide perspective that takes both the global picture and the highly-specific details into consideration.

Use cases

• Automated performance monitoring to streamline the detection of under-performing sectors.
• Automated troubleshooting to determine the actions to take in order to solve the detected problems.
• Advanced early warning activities to detect upcoming problems and carry out pre-emptive actions to avoid explicit service degradation.
• Immediate automatic verification of network performance after topological updates.

Benefits

• Drastic OPEX rationalization through massive automation of network performance analysis and troubleshooting activities.
• Improved Quality of Service through network-wide availability and application of best-in-class troubleshooting practices and know-how.
• Enhanced performance through early identification of upcoming network problems, facilitating pre-emptive corrective actions.
• Faster reaction to network incidences.