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作 者:林黄智 田柳 范之国[3] LIN Huangzhi;TIAN Liu;FAN Zhiguo(Department of Mechanical and Electrical Engineering,Anhui Vocational and Technical College,Hefei 230011,China;Department of Automotive Engineering,Anhui Vocational and Technical College,Hefei 230011,China;School of Computer and Information,Hefei University of Technology,Hefei 230009,China)
机构地区:[1]安徽职业技术学院机电工程系,安徽合肥230011 [2]安徽职业技术学院汽车工程系,安徽合肥230011 [3]合肥工业大学计算机与信息学院,安徽合肥230009
出 处:《安庆师范大学学报(自然科学版)》2023年第1期79-84,共6页Journal of Anqing Normal University(Natural Science Edition)
摘 要:随着内容分发网络系统承载着越来越多的大流量视频业务,其规模不断增大且对用户日志收集和集中处理的需求也越来越高,为提升日志处理效率,本文设计了一种基于实时日志搜索和分析系统(ELK)的日志分析平台,可通过对海量的用户访问日志进行实时采集和检索,并捕获用户异常访问记录,从而实现了对系统性能和业务质量的可视化自动监控及提前预警,并提高了内容分发网络系统智能化运维效率。With the Content Delivery Network(CDN)system carrying more and higher traffic video services,the scale of the system is increasing,and the demand for collection and centralized processing of user logs is increasing.To improve the efficiency of log processing,this paper designs and implements a log analysis platform based on the real-time log search and analysis system(ELK).Through real-time collection and retrieval of massive user access logs,the system realizes the visualization,automatic monitoring and early warning of the system performance and business quality,and improves the intelligent operation and maintenance efficiency of the content distribution network system.
关 键 词:内容分发网络 实时日志搜索和分析系统 系统监控 日志分析
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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