| Abstract |
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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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 Additional Information
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Citation:
Frederick Reiss, Joseph M. Hellerstein,
"Data Triage: An Adaptive Architecture for Load Shedding in TelegraphCQ,"
icde,
pp. 155-156,
21st International Conference on Data Engineering (ICDE'05),
2005
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