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Data Triage: an adaptive architecture for load shedding in TelegraphCQ

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2 Author(s)
Reiss, F. ; Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA ; Hellerstein, J.M.

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.

Published in:

Data Engineering, 2005. ICDE 2005. Proceedings. 21st International Conference on

Date of Conference:

5-8 April 2005