CHAOS: A Data Stream Analysis Architecture for Enterprise Applications

Chetan Gupta, Song Wang, Ismail Ari, M. Hao, U. Dayal, Abhay Mehta, M. Marwah, Ratnesh K. Sharma
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引用次数: 38

Abstract

In this paper, we describe the design of our architecture for Continuous, Heterogeneous Analysis Over Streams, aka CHAOS that combines stream processing, approximation techniques, mining, complex event processing and visualization. CHAOS, with the novel concept of Computational Stream Analysis Cube, provides an effective, scalable platform for near real time processing of business and enterprise streams. We describe our approach with a real data center temperature analysis application.
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CHAOS:企业应用的数据流分析体系结构
在本文中,我们描述了我们的架构设计,用于连续,异构分析流,又名CHAOS,它结合了流处理,近似技术,挖掘,复杂事件处理和可视化。CHAOS具有计算流分析立方体的新概念,为业务和企业流的近实时处理提供了一个有效的、可扩展的平台。我们用一个真实的数据中心温度分析应用来描述我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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