In this tutorial paper we present the results of recent research findings in the area of data streaming applied to stream processing systems. In particular, we introduce the data streaming model, detailing the main algorithmic results in this research field. We then move to detail how such algorithms can be applied to modern distributed stream processing systems to improve their efficiency. Finally we outline several open research directions in this field.
Data Streaming and its Application to Stream Processing: Tutorial / Querzoni, Leonardo; Rivetti, Nicolo. - ELETTRONICO. - (2017), pp. 15-18. (Intervento presentato al convegno 11th ACM International Conference on Distributed Event-Based Systems, DEBS 2017; Universitat Politecnica de Catalunya tenutosi a Barcelona; Spain) [10.1145/3093742.3095108].
Data Streaming and its Application to Stream Processing: Tutorial
QUERZONI, Leonardo
;
2017
Abstract
In this tutorial paper we present the results of recent research findings in the area of data streaming applied to stream processing systems. In particular, we introduce the data streaming model, detailing the main algorithmic results in this research field. We then move to detail how such algorithms can be applied to modern distributed stream processing systems to improve their efficiency. Finally we outline several open research directions in this field.| File | Dimensione | Formato | |
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