测震波形数据存储和管理系统设计与实现

摘要

In order to solve the performance bottleneck of seismic waveform data of the growing mass in the storage and management , based on the seismic business requirements, use the distributed file system of HDFS and distributed computing structure of Spark which based on the Hadoop big data technology to realize data storage and computation, and development of the seismic waveform data storage and management system based on Web, the realization of visualization management with massive seismic waveform data and query for data run rate.%为了解决日益增长的海量测震波形数据在存储和管理方面存在的性能瓶颈问题,基于测震波形数据管理的业务需求,选取基于Hadoop大数据技术的分布式文件系统HDFS和分布式计算Spark架构进行数据的存储和计算,并开发基于Web的测震波形数据存储和管理系统,实现对海量测震波形数据的可视化管理和数据运行率检索.