数据流管理系统-一种网络监控和流量分析技术?

V. Goebel, T. Plagemann
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引用次数: 3

摘要

只提供摘要形式。一类新的数据密集型应用程序,如传感器网络、网络流量分析、金融报价器、Web或电信事务日志分析,已得到广泛认可。这些应用程序需要支持对快速变化的数据流进行在线分析。然而,传统的数据库管理系统(DBMS)没有预先定义的时间概念,不能近乎实时地在线处理数据(即,在主内存中而不将数据存储在磁盘上)。数据流管理系统(DSMS)已被开发用于在线处理瞬时数据流并处理对这些数据流的连续查询。目前,第一个原型和系统正在变得可用。本教程将讨论数据流模型,这是经典DBMS和DSMS之间的根本区别。还讨论了流量分析任务
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Data stream management systems - a technology for network monitoring and traffic analysis?
Summary form only given. A new class of data-intensive applications, such as sensor networks, network traffic analysis, financial tickers, Web or telecommunications transaction log analysis, has become widely recognized. These applications require support for on-line analysis of rapidly changing data streams. However, traditional database management systems (DBMS) have no pre-defined notion of time and cannot handle data on-line (i.e., in main memory without storing the data on disk) in near real-time. Data stream management systems (DSMS) have been developed to handle transient data streams on-line and to process continuous queries on these data streams. Currently, first prototypes and systems are becoming available. The tutorial discusses the data stream model, which is the fundamental difference between a classical DBMS and a DSMS. Traffic analysis tasks are also discussed
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