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The Anatomy of a Stream Processing System

机译:流处理系统剖析

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摘要

Data intensive applications such as network monitoring, financial applications; sensor-based applications etc. need to be supported by general-purpose systems rather than customized implementations. They have a continuous, unpredictable and unbounded flow of data as input, referred as streams. The fact that data comes as a stream with varying input rates (instead of accessing data stored on a disk in a predictable way) and that quality of service (QoS) requirements are stringent for these applications warrants a re-examination of the fundamental architecture of a DBMS. This paper describes the basic processing model and architecture of MavStream - a new Data Stream Management System (DSMS) being developed at UT Arlington. The architecture of MavStream is the primary focus of this paper. The user can give a continuous query from a graphical user interface (GUI), which is instantiated, scheduled, and executed by the MavStream server. We first provide an overview of the basic model and architecture and then describe some of the components of the system. We provide some experimental results to demonstrate the utility of the system and the effect of different scheduling strategies and buffer sizes on the performance and output.
机译:数据密集型应用程序,例如网络监控,财务应用程序;基于传感器的应用程序等需要通用系统的支持,而不是定制的实现。它们具有连续的,不可预测的和无限制的数据流作为输入,称为流。数据以变化的输入速率(而不是以可预测的方式访问存储在磁盘上的数据)流的形式出现,并且这些应用的服务质量(QoS)要求非常严格,因此有必要重新检查DBMS。本文介绍了MavStream的基本处理模型和体系结构-在UT阿灵顿开发的一种新的数据流管理系统(DSMS)。 MavStream的体系结构是本文的重点。用户可以从图形用户界面(GUI)进行连续查询,该查询由MavStream服务器实例化,计划和执行。我们首先提供基本模型和体系结构的概述,然后描述系统的某些组件。我们提供了一些实验结果,以证明该系统的实用性以及不同调度策略和缓冲区大小对性能和输出的影响。

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