Research and Application of Decision Tree Algorithm in QoS-Aware Service for Fault Diagnosis

In recently years, the communication networks envisage the prominent contradiction between the increased requirements for high-quality services and the gradually increased operational problems. However, the existing operation and maintenance face a series of problems: large volume of data, many control links, difficulty of problems localization. We can employ machine to efficiently analyze and deal with these problems. This paper proposes an analysis method for quality of service (QoS)-aware service in the field of operation and maintenance. The proposed method analyzes the correlation between QoS-aware service features and problem solution by mining service scene, operational data, and typical cases. The proposed method is useful for the customer service personnel to locate and solve the problem.