关键词: 实时数据库,HBase,传感器数据,集中式存储,写入优化

Abstract: In the internet of things,industrial control and other systems,large-scale sensor generates a large amount of data all the time.The Real-time database has an advantage in terms of time-sensive data processing,while it has a problem in storage capacity and scalability.On the contrary,the HBase has the advantage of high read and write perfor-mance,high scalability and high reliablity.Through the combination of real-time database and HBase,we designed and implemented the sensor information storage architecture based on fusion database.The architecture uses a multi-tenant mechanism to optimize HBase writes,the original sensor data are centrally stored,and the sensor metadata and historical data are stored separately,while maintaining the original real-time database queries,data structure characteristics.Our experiments verify that the system has high read and write performance and good scalability.And it effectively avoids the region write hot and achieves the objective of the cluster load balancing.

Key words: Real-time database,HBase,Sensor data,Centralized storage,Write-optimized