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

Key:LKW+18
Author:Manisha Luthra, Boris Koldehofe, Pascal Weisenburger, Guido Salvaneschi, Raheel Arif
Date:June 2018
Kind:In proceedings - use for conference & workshop papers
Book title:Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems (acceptance rate: 38.7%)
ISBN:978-1-4503-5782-1/18/06
Keywords:Complex Event Processing; Stream Processing; Operator Placement; Migration; Adaptation; Transitions; Internet of Things
Research Area(s):Network Mechanisms & QoS
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%.
URL:https://dl.acm.org/citation.cfm?id=3210292
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