Recommendation ITU-T Y.3550 (12/2023) Cloud computing – Requirements for artificial intelligence based cloud service development and operation management
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 Overview of AI based cloud service development and operation management
     6.1 Introduction to AI based cloud service development and operation management
     6.2 AI based cloud service development and operation management framework
          6.2.1 AI-based algorithms and models
          6.2.2 AI-based code stage
          6.2.3 AI-based test stage
          6.2.4 AI-based deploy and release stage
          6.2.5 AI-based operation stage
7 Functional requirements of AI based cloud service development and operation management
     7.1 Overview
     7.2 Code generation
     7.3 Test case generation
     7.4 Integration and deployment
     7.5 Abnormal detection
     7.6 Alarm convergence
     7.7 Fault localization
     7.8 Fault repairing
     7.9 Resource optimization
     7.10 Resource capacity prediction
     7.11 Intelligent response
     7.12 Knowledge base management
8 Security considerations
Appendix I  Use case of AI based operation management
     I.1 Use case: automatic generation of codes and test cases
     I.2 Use case: integration and deployment
     I.3 Use case: adaptive anomaly detection model adjustment
     I.4 Use case: convergence of alarm storms
     I.5 Use case: fault localization based on link topology
     I.6 Use case: fault repairing solution recommendation
     I.7 Use case: resource optimization and scheduling
     I.8 Use case: resource capacity prediction
     I.9 Use case: intelligent response
     I.10 Use case: knowledge base system management
Bibliography