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Received:August 17, 2021 Revised:September 29, 2021
Received:August 17, 2021 Revised:September 29, 2021
中文摘要: 面向企业客户的大型云网监控系统在多云/多网环境下为用户提供包括云网监控、应用性能监控等监控服务, 为企业提供一体化的监控运维管理, 对于监控的灵敏度有着很高的要求. 影响云网监控系统的灵敏度的因素存在于数据采集、数据处理、数据存储、数据展现、数据缓存、消息队列等多个环节中, 本文着重对云网监控系统逐层架构进行分析, 通过数据分析、应对方案设计提升系统整体监控灵敏度.
Abstract:The large cloud and network monitoring system for enterprise customers provides users with services such as cloud and network monitoring as well as application performance monitoring in a multi-cloud/multi-network environment and provides enterprises with integrated monitoring and maintenance management. It has high requirements for monitoring sensitivity. The factors affecting the system exist in many links such as the data collection, data processing, data storage, data presentation, data cache, and message queue. This study analyses the architecture of the cloud and network monitoring system layer by layer and improves the overall monitoring sensitivity of the system through data analysis and corresponding solution design.
keywords: cloud and network monitoring system monitoring sensitivity fault detection data collection
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吴舸,肖荣,张明华,金道临,孙毛杰.面向企业客户的大型云网监控系统灵敏度优化.计算机系统应用,2022,31(6):93-99
WU Ge,XIAO Rong,ZHANG Ming-Hua,JIN Dao-Lin,SUN Mao-Jie.Sensitivity Optimization of Large Cloud and Network Monitoring System for Enterprise Customers.COMPUTER SYSTEMS APPLICATIONS,2022,31(6):93-99
吴舸,肖荣,张明华,金道临,孙毛杰.面向企业客户的大型云网监控系统灵敏度优化.计算机系统应用,2022,31(6):93-99
WU Ge,XIAO Rong,ZHANG Ming-Hua,JIN Dao-Lin,SUN Mao-Jie.Sensitivity Optimization of Large Cloud and Network Monitoring System for Enterprise Customers.COMPUTER SYSTEMS APPLICATIONS,2022,31(6):93-99