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TCEP: Adapting to Dynamic User Environments by Enabling Transitions between Operator Placement Mechanisms

Luthra, Manisha ; Koldehofe, Boris ; Weisenburger, Pascal ; Salvaneschi, Guido ; Arif, Raheel (2018)
TCEP: Adapting to Dynamic User Environments by Enabling Transitions between Operator Placement Mechanisms.
Proceedings of 12th ACM International Conference on Distributed and Event-based Systems (DEBS '18).
Conference or Workshop Item, Bibliographie

Abstract

Operator placement has a profound impact on the performance of a distributed complex event processing system (DCEP). Since the behavior of a placement mechanism strongly depends on its environment; a single placement mechanism is often not enough to fulfill stringent performance requirements under environmental changes. In this paper, we show how DCEP can benefit from the adaptive use of multiple placement mechanisms. We propose Tcep, a DCEP system to integrate multiple placement mechanisms. By enabling transitions, Tcep can seamlessly exchange distinct operator mechanisms at runtime. We make two main contributions that are highly important for a cost-efficient transition: i) a transition strategy for efficiently scheduling state migrations and ii) a lightweight learning algorithm to adaptively select an appropriate placement mechanism as a consequence of a transition. Our evaluations for important decentralized placement mechanisms in the context of an IoT scenario show that transitions can better fulfill QoS demands in a dynamic environment. Thereby, efficient scheduling of state migrations can help to faster complete transitions by up to 94 %.

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Luthra, Manisha ; Koldehofe, Boris ; Weisenburger, Pascal ; Salvaneschi, Guido ; Arif, Raheel
Type of entry: Bibliographie
Title: TCEP: Adapting to Dynamic User Environments by Enabling Transitions between Operator Placement Mechanisms
Language: English
Date: 2018
Event Title: Proceedings of 12th ACM International Conference on Distributed and Event-based Systems (DEBS '18)
Abstract:

Operator placement has a profound impact on the performance of a distributed complex event processing system (DCEP). Since the behavior of a placement mechanism strongly depends on its environment; a single placement mechanism is often not enough to fulfill stringent performance requirements under environmental changes. In this paper, we show how DCEP can benefit from the adaptive use of multiple placement mechanisms. We propose Tcep, a DCEP system to integrate multiple placement mechanisms. By enabling transitions, Tcep can seamlessly exchange distinct operator mechanisms at runtime. We make two main contributions that are highly important for a cost-efficient transition: i) a transition strategy for efficiently scheduling state migrations and ii) a lightweight learning algorithm to adaptively select an appropriate placement mechanism as a consequence of a transition. Our evaluations for important decentralized placement mechanisms in the context of an IoT scenario show that transitions can better fulfill QoS demands in a dynamic environment. Thereby, efficient scheduling of state migrations can help to faster complete transitions by up to 94 %.

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
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: 23 May 2018 12:05
Last Modified: 14 Sep 2018 13:06
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