Real Time Processing and Storage of Large-Scale IoT Data
This paper comprehensively explores the real-time processing and storage technologies of large-scale Internet of Things data and their significance in applications such as intelligent urban traffic management.Addressing the characteristics of Internet of Things data including diversity,high concurrency,temporal variation,and heterogeneity,mainstream technologies such as stream processing,Complex Event Processing(CEP),time-series databases,and distributed file systems are introduced.Through the lens of intelligent traffic management,the paper elaborates on the application effects of these technologies in real-time monitoring,traffic control,event prediction,and long-term trend analysis,providing theoretical support and practical guidance for building efficient and real-time Internet of Things data processing and storage systems.
Internet of Thingsreal-time processingdata storagestream processingdistributed file systems