【作者】 张玲东；

【导师】 毛宇光；

【作者基本信息】 南京航空航天大学 ， 计算机软件与理论， 2005， 硕士

【摘要】 在当今的网络监控、电信数据管理、传感器数据监控等应用中,数据采取的是多维的、连续的、快速的、随时间变化的流式数据的形式,对数据的访问也是多次和连续的,并要求即时的响应。研究表明传统的关系数据库系统难于适应这种流式应用的数据管理需求,因此如何有效地开发一种新型的数据库系统来满足这种新的数据处理要求已成为目前研究的一个热点课题。本文研究的目的就是设计一个通用的流式数据库管理系统,该系统不仅支持对固定存储的关系数据的管理,而且支持对流式应用中快速变化的、连续的流式数据的管理。目前国内在此方面的研究还比较少,本文以国外几个典型的数据流管理系统为参考,集成它们各自的特点设计了一个新型的数据流管理系统 Phosphor。Phosphor 区别于其他 DSMS 的显著特点主要包括:既支持对传统的关系数据的操作,又支持对连续的流式数据的操作;具有丰富查询窗口类型的流式查询语言;独特的内存中组织流式数据的方法;基于内存资源的负载平衡控制策略。更多还原

【Abstract】 Recently a new class of data streams applications has become widely recognized: applications in which the data is multiple, continuous, quickly changed with time. The access to data stream is also continuous and many-times, and requires on-time response. Examples of such applications include network traffic monitoring, telecommunications data management, sensor networks, and others. The experience shows that the traditional RDBMS cannot satisfy the data stream system’s requirements. So how to design an effective new database system in order to process data streams becomes an open research problem. The purpose of this dissertation is to design a universal data stream management system not only for data streams but also for static relations. Today there is a little work about this in our country, we designed a data stream management system, named Phosphor,it refers to a few classic data stream management systems. The important difference between Phosphor and other DSMSs include: both data streams and static relations are the management objects of Phosphor, continuous query language with comprehensive window types, the novel technique for organizing data streams in memory, the strategy of load shedding based on memory resource.更多还原