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TCEP: Transitions in operator placement to adapt to dynamic network environments

Luthra, Manisha ; Koldehofe, Boris ; Danger, Niels ; Weisenberger, Pascal ; Salvaneschi, Guido ; Stavrakakis, Ioannis (2021):
TCEP: Transitions in operator placement to adapt to dynamic network environments.
In: Journal of Computer and System Sciences, 122, pp. 94-125. Elsevier, ISSN 0022-0000,
DOI: 10.1016/j.jcss.2021.05.003,
[Article]

Abstract

Distributed Complex Event Processing (DCEP) is a commonly used paradigm to detect and act on situational changes of many applications, including the Internet of Things (IoT). DCEP achieves this using a simple specification of analytical tasks on data streams called operators and their distributed execution on a set of infrastructure. The adaptivity of DCEP to the dynamics of IoT applications is essential and very challenging in the face of changing demands concerning Quality of Service. In our previous work, we addressed this issue by enabling transitions, which allow for the adaptive use of operator placement mechanisms. In this article, we extend the transition methodology by optimizing the costs of transition and analyzing the behavior using multiple operator placement mechanisms. Furthermore, we provide an extensive evaluation on the costs of transition imposed by operator migrations and learning, as it can inflict overhead on the performance if operated uncoordinatedly.

Item Type: Article
Erschienen: 2021
Creators: Luthra, Manisha ; Koldehofe, Boris ; Danger, Niels ; Weisenberger, Pascal ; Salvaneschi, Guido ; Stavrakakis, Ioannis
Title: TCEP: Transitions in operator placement to adapt to dynamic network environments
Language: English
Abstract:

Distributed Complex Event Processing (DCEP) is a commonly used paradigm to detect and act on situational changes of many applications, including the Internet of Things (IoT). DCEP achieves this using a simple specification of analytical tasks on data streams called operators and their distributed execution on a set of infrastructure. The adaptivity of DCEP to the dynamics of IoT applications is essential and very challenging in the face of changing demands concerning Quality of Service. In our previous work, we addressed this issue by enabling transitions, which allow for the adaptive use of operator placement mechanisms. In this article, we extend the transition methodology by optimizing the costs of transition and analyzing the behavior using multiple operator placement mechanisms. Furthermore, we provide an extensive evaluation on the costs of transition imposed by operator migrations and learning, as it can inflict overhead on the performance if operated uncoordinatedly.

Journal or Publication Title: Journal of Computer and System Sciences
Journal volume: 122
Publisher: Elsevier
Uncontrolled Keywords: Complex event processing, Operator placement, Migrations, Adaptations, Transitions, Dynamic network environment, Internet of Things
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
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
Date Deposited: 05 Oct 2021 12:14
DOI: 10.1016/j.jcss.2021.05.003
Official URL: https://www.sciencedirect.com/science/article/pii/S002200002...
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