摘要
随着5G等新一代信息技术加速创新突破,算力与网络开启深度融合。面对数字经济快速发展和5G网络建设加快带来的新挑战,提高网络质量、降低运营成本的压力越来越大,加快推进网络运维数智化转型、赋能高质量和高效网络运维迫在眉睫。基于此,提出一种基于聚类算法的互联网电视业务性能劣化定界定位方法,对互联网电视业务性能劣化、故障等实现自智化定界定位,以提高生产效率。
With the acceleration of innovation and breakthroughs in 5G and other new generation information technologies,the deep integration of computing power and network has begun.In the face of new challenges brought by the rapid development of the digital economy and the acceleration of 5G network construction,there is increasing pressure to improve network quality and reduce operating costs,and it is urgent to accelerate the intelligent transformation of network operation and maintenance,and enable high-quality and efficient network operation and maintenance.Based on this,this paper proposes a clustering algorithm based on Internet TV service performance degradation delimiting method to achieve self-intelligent delimiting of Internet TV service performance degradation,fault,etc.,in order to improve production efficiency.
作者
刘艺蕾
贾诗玮
刘斌
张小强
田程军
曾强
LIU Yilei;JIA Shiwei;LIU Bin;ZHANG Xiaoqiang;TIAN Chengjun;ZENG Qiang(China Mobile Communications Group Shaanxi Co.,Ltd.,Xi'an 710000,China)
出处
《电视技术》
2023年第8期55-57,共3页
Video Engineering
关键词
互联网电视
聚类算法
自智网络
性能劣化
定界定位
Internet TV
clustering algorithms
intelligent networks
performance degradation
boundary localization
