DBMS与DSMS的比较研究

传统数据库管理系统(DBMS)通常用来存储没有时间概念的相对静止的数据,而且数据量相对较少,可以完全存储在数据库中。而对于一些新的应用领域,如传感器数据,信息是以数据序列(流)的形式产生并且需要实时地持续地进行处理,这就需要一种新型的数据流管理系统(DSMS)对这些数据存储、管理和处理。本文主要讨论了传统数据库管理系统与数据流管理系统的不同之处,并提出了一个数据流管理系统的系统框架。

The comparative research between DBMS and DSMS

Usually traditional database stores relatively static records without the notion of time, the size of data is relatively small and the data can be entirely stored in the database. But in many new application domains, information naturally occurs in the form of a sequence(stream) of data items, such as the sensor data, and needs real time and continuous processing. It is necessary to design a new data stream management system to store, manage and process this type of data. This paper mainly discusses the differences of the traditional Database Management System and Data Stream Management System, and proposes a system framework of the DSMS.