Overview

Traditionally, network O&M is usually device-centric. O&M personnel have to log in to devices one by one or use an NMS to centrally manage multiple devices. However, the NMS can only display data immediately after obtaining it or display it after basic processing. Data analysis still needs to be carried out manually, which is time-consuming and labor-intensive, as well as incurring high costs and requiring operators to be highly trained. In addition, as more campus networks are going wireless, a larger number of wireless terminals access campus networks, such as mobile phones, tablets, printers, and electronic whiteboards. This brings new O&M considerations to campus networks, such as mobility and air interface interference. Fast fault demarcation, quick service restoration, and user experience guarantee in the wireless environment are new demands for O&M of campus networks.

Huawei iMaster NCE-CampusInsight, an intelligent network analysis platform, radically changes the traditional resource status-centric monitoring mode and applies AI to the network O&M field. Based on existing O&M data (such as device performance indicators and terminal logs), it uses big data analytics, AI algorithms, and more advanced analysis technologies to digitize user experience, helping customers quickly detect network issues and improve user experience accordingly.

Compared with traditional network O&M, intelligent network O&M based on iMaster NCE-CampusInsight brings the following benefits to customers:

1. Automatic identification and proactive prediction of faults
   • Automatic fault identification: iMaster NCE-CampusInsight can use big data and AI technologies to automatically identify issues regarding connection, air interface performance, roaming, devices, and applications, improving the identification rate of potential issues.
   • Proactive fault prediction: iMaster NCE-CampusInsight can learn historical data through machine learning to dynamically generate a baseline, which is then compared and analyzed with real-time data to predict possible faults.
2. Fast fault locating and intelligent root cause analysis
   • Fast fault locating: iMaster NCE-CampusInsight can intelligently identify the type and impact range of faults using the network O&M expert system and various intelligent algorithms, helping administrators better locate faults.
   • Intelligent root cause analysis: iMaster NCE-CampusInsight can analyze possible causes of faults based on the big data platform and provide troubleshooting suggestions.
3. User experience visibility
   • Each moment: iMaster NCE-CampusInsight can dynamically collect network KPI data in minutes using Telemetry technology, so that the user access process can be restored and faults are traceable.
   • Each user: iMaster NCE-CampusInsight can collect data from multiple dimensions, display the network profile of each user in real time, and visualize network experience (who, when, which AP to connect to, experience, and issue) throughout the full journey.
   • Each application: iMaster NCE-CampusInsight supports real-time audio and video application experience awareness, and can visualize audio and video application processes.