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- W1581905079 abstract "AbstractUnlike processing snapshot queries in a traditional DBMS, the processing of continuous queries in a data stream management system (DSMS) needs to satisfy quality requirements such as processing delay. When the system is overloaded, quality degrades significantly thus load shedding becomes necessary. Maintaining the quality of queries is a difficult problem because both the processing cost and data arrival rate are highly unpredictable. We propose a quality adaptation framework that adjusts the application behavior based on the current system status. We leverage techniques from the area of control theory in designing the quality adaptation framework. Our simulation results demonstrate the effectiveness of the control-based quality adaptation strategy. Comparing to solutions proposed in previous works, our approach achieves significantly better quality with less waste of resources.KeywordsData StreamQuery ProcessingEarliest Deadline FirstContinuous QuerySporadic TaskThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W1581905079 date "2005-01-01" @default.
- W1581905079 modified "2023-09-24" @default.
- W1581905079 title "Control-Based Quality Adaptation in Data Stream Management Systems" @default.
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- W1581905079 doi "https://doi.org/10.1007/11546924_73" @default.
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