数据分类:在电报cq中用于减载的自适应架构

21st International Conference on Data Engineering (ICDE'05) Pub Date : 2005-04-05 DOI:10.1109/ICDE.2005.44

Frederick Reiss, J. Hellerstein

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引用次数: 78

摘要

流查询处理中使用的许多数据源都表现出突发行为。突发中的数据通常具有与稳态数据不同的特征，因此可能会引起特别的兴趣。在本文中，我们描述了我们添加到TelegraphCQ中的数据分类架构，以在这种突发情况下提供低延迟和高准确性的结果。

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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Data Triage: an adaptive architecture for load shedding in TelegraphCQ

Many of the data sources used in stream query processing are known to exhibit bursty behavior. Data in a burst often has different characteristics than steady-state data, and therefore may be of particular interest. In this paper, we describe the Data Triage architecture that we are adding to TelegraphCQ to provide low latency results with good accuracy under such bursts.

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21st International Conference on Data Engineering (ICDE'05)

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