Rec. ITU-T E.475 (01/2020) Guidelines for intelligent network analytics and diagnostics
Summary
History
FOREWORD
Table of Contents
1 Scope
2 References
3 Definitions
     3.1 Terms defined elsewhere
     3.2 Terms defined in this Recommendation
4 Abbreviations and acronyms
5 Conventions
6 Design considerations
     6.1 Consideration for data collection
     6.2 Data processing techniques
     6.3 Data analytics and diagnostics
          6.3.1 Network maintenance
          6.3.2 Network operation
7 Functional reference architecture for intelligent network analytics and diagnostics
     7.1 Data sources
          7.1.1 Event type
          7.1.2 Metrics type
          7.1.3 In-situ type
               7.1.3.1 IOAM data types
               7.1.3.2 IOAM data attribute
     7.2 Data analytics
          7.2.1 Data collection
          7.2.2 Data storage
          7.2.3 Data pre-processing
     7.3 Data diagnostics engine
          7.3.1 Anomaly detection
          7.3.2 Risk assessment
          7.3.3 Rule management
     7.4 Applications
8 Network diagnostics methodology
     8.1 Spatial dimension anomaly analysis
     8.2 Temporal dimension anomaly analysis
9 Network analytics and diagnostics models
     9.1 Network anomaly assessment models
          9.1.1 Network log-based anomaly detection model
               9.1.1.1 Network log-based analytics
               9.1.1.2 Network log-based anomaly degree assessment
          9.1.2 Network KPI-based anomaly detection model
               9.1.2.1 Network KPI-based analytics
               9.1.2.2 Single KPI-based anomaly detection model
               9.1.2.3 Multi-KPI-based anomaly detection model
          9.1.3 Network configuration detection model
               9.1.3.1 Network configuration data analytics
               9.1.3.2 Network configuration faults detection model
          9.1.4 Root cause diagnostics model
               9.1.4.1 Root cause data analytics
               9.1.4.2 Root cause diagnostics
     9.2 Network risk assessment models
          9.2.1 Network KPI based risk evaluation model
               9.2.1.1 Network KPIs analytics
               9.2.1.2 Risk assessment
          9.2.2 KQI-KPI based risk evaluation model
               9.2.2.1 KQI-KPI-based data analytics
               9.2.2.2 KQI-KPI-based risk evaluation
Appendix I  Network analytics and diagnostics applications
     I.1 Causes of network performance degradations
     I.2 Network health indication
     I.3 Prediction of network performance degradations
     I.4 Memory anomaly detection
          I.4.1 Training stage
          I.4.2 Testing stage
     I.5 Network fault localization
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