大数据环境下监控系统的设计与实现

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中图分类号：TP311.13 文献标志码：A 文章编码：1672-7274（2025）08-0001-03

Design and Implementation of Monitoring System in Big Data Environment YIN Chun

（Shanghai Bondi Technology Co.，Ltd.，Shanghai 2014oo，China）

Abstract： With the developmentof Internet of Things technologyand therapid increase inthe number of devices， monitoring systems are facing challenges such as large data volume，high processing speed requirements，and high storage pressure.In response to the technical bottenecks encountered by traditional monitoring systems in big data environments，this article designs a distributed architecture based monitoring system solution.The system adopts Hadoop ecosystem technology，combined with the streaming computing framework Storm to achieve real-time data processing，uses Kafka message queue to solvedata transmission problems，and stores massivedata through MongoDB distributed database.The system realizes the automation of the entire process of data collection，transmission， processing，storage and display.After testingand verification，itcan support milionsofdata processing capabilities per second，andthedataprocessingdelayisontrolledattheiliseondlevel，providingreferencefortheconstrction of monitoring systems in big data environments.

Keywords： distributed architecture; streaming computing; real time processing; data storage

大数据时代背景下，监控系统产生的数据呈指数级增长，传统的集中式架构已无法满足数据处理需求，针对数据采集量大、实时性要求高、存储压力大等问题，设计新型监控系统势在必行。（剩余4418字）