徐代刚，姜磊，梅君君
（中兴通讯股份有限公司，中国 深圳 518057）
摘要：提出了一种基于人工智能（AI）的保障视频云体验质量（QoE）的系统架构。该系统针对多个维度创建运维知识图谱，例如运行数据、运行环境、运维数据，以用于建模、感知、映射和分析。在对系统的微服务保障中，运用了图神经网络（GNN）等方法进行分类和预测。通过知识图谱和机器学习，该系统可实现实时监控、自愈恢复、智能预测和主动运维，从而实现QoE的智能保障。
关键词：视频云系统；数据挖掘；知识图谱；图神经网络；智能运维
Intelligent Operation and Maintenance Technology for Video Cloud Microservice System
XU Daigang, JIANG Lei, MEI Junjun
（ZTE Corporation, Shenzhen 518057, China）
Abstract: Based on artificial intelligence (AI), a system architecture that guarantees video cloud quality of experience (QoE) is proposed. According to multiple dimensions, the system creates an operation and maintainance knowledge map for modeling, sensing, mapping, analyzing, such as operating data, operating environmen, and operation and maintenance data. In the microservice system, methods such as graph neural network (GNN) are introduced for classification and prediction. With a knowledge graph and machine learning, the system can perform realtime monitoring, self-healing, intelligent predicting and active operation and maintainance to implement intelligent guarantee of QoE.
Keywords: video cloud system; data mining; knowledge graph; graph neural network; AIOps
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