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Quality-Aware Runtime Adaptation in Complex Event Processing

Weisenburger, Pascal and Luthra, Manisha and Koldehofe, Boris and Salvaneschi, Guido (2017):
Quality-Aware Runtime Adaptation in Complex Event Processing.
Piscataway, NJ, USA, IEEE Press, In: IEEE/ACM 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 2017, Buenos Aires, Argentina, In: SEAMS '17, [Online-Edition: http://ieeexplore.ieee.org/document/7968142/],
[Conference or Workshop Item]

Abstract

Complex event processing (CEP) is a fundamental paradigm for a software system to self-adapt to environmental changes. CEP provides efficient means to detect (complex) events corresponding to environmental changes by performing a real-time analysis on many, possibly heterogeneous, data sources. The way current CEP systems detect events is determined at design time without accounting for dynamic changes of the environment monitored by the CEP system. This can lead to situations where the performance, quality and reliability of event detection significantly drop (e.g., due to mobility) since initial assumptions of the environment are violated or stated too general. In this paper, we propose AdaptiveCEP, a CEP system that is able to self-adapt to detected changes in environmental conditions. We propose a CEP query language that allows specifying changes in the behavior of the CEP system and its mechanisms in detecting events dependent on environmental conditions. This way, AdaptiveCEP can select the best-suited configurations for given quality demands. In our evaluation, we show by means of a reference concept how the flexibility exposed by the query language helps to achieve significant performance gains.

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Weisenburger, Pascal and Luthra, Manisha and Koldehofe, Boris and Salvaneschi, Guido
Title: Quality-Aware Runtime Adaptation in Complex Event Processing
Language: English
Abstract:

Complex event processing (CEP) is a fundamental paradigm for a software system to self-adapt to environmental changes. CEP provides efficient means to detect (complex) events corresponding to environmental changes by performing a real-time analysis on many, possibly heterogeneous, data sources. The way current CEP systems detect events is determined at design time without accounting for dynamic changes of the environment monitored by the CEP system. This can lead to situations where the performance, quality and reliability of event detection significantly drop (e.g., due to mobility) since initial assumptions of the environment are violated or stated too general. In this paper, we propose AdaptiveCEP, a CEP system that is able to self-adapt to detected changes in environmental conditions. We propose a CEP query language that allows specifying changes in the behavior of the CEP system and its mechanisms in detecting events dependent on environmental conditions. This way, AdaptiveCEP can select the best-suited configurations for given quality demands. In our evaluation, we show by means of a reference concept how the flexibility exposed by the query language helps to achieve significant performance gains.

Series Name: SEAMS '17
Place of Publication: Piscataway, NJ, USA
Publisher: IEEE Press
Uncontrolled Keywords: C2
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications
20 Department of Computer Science
20 Department of Computer Science > Software Technology
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms > Subproject C2: Information-centred perspective
Event Title: IEEE/ACM 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 2017
Event Location: Buenos Aires, Argentina
Date Deposited: 01 Oct 2017 16:23
Official URL: http://ieeexplore.ieee.org/document/7968142/
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