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With the increasing use of Data Stream Management Systems (DSMS's) in energy-critical areas the energy consumption of the DSMS itself is gaining growing importance. However, processing data streams in an energy-aware manner is still an open research question. In this paper, the authors propose a very first concept for a DSMS architecture which treats the energy consumption as a first-class-citizen. Therefore, they rely on data synopses and anytime algorithms in order to minimize the data quantity and the number of iteration which minimizes the overall energy consumption.
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