基于主从架构的可扩展地震前兆数据采集系统设计与实现

The design and implementation of a scalable data acquisition system for earthquake precursor data management system based on Master-Work-er Model

提出地震前兆数据管理系统中可扩展的分布式数据采集系统架构,该架构可以快捷地使用第三方资源对系统能力进行扩展,从而很好的应对变化的资源需求。在传统的主从模型基础上,通过创建执行器来执行任务和分配资源,可以有效执行任务。

The data acquisition system in Web-based IOT needs to consider not only the requirements of the daily routine analysis of the data, but also the requirements from the real-time reaction of an emergency, which presents a dilemma for system design. In this paper, a scalable data acquisition system for earthquake precursor data management system is presented, which can extend the system capability temporally using extra resources to meet the demands. Based on the traditional Master-Worker Model, the system makes uses of the executors for task execu- tion and resource allocation and can execute the tasks efficiently.