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Complex Event Processing for the Internet of Things
Citation key Ziehn2020
Author Ariane Ziehn
Year 2020
Journal VLDB 2020 PhD Workshop
Note Presentation slides are available here: https://www.redaktion.tu-berlin.de/fileadmin/fg131/Conferences/Presentations/Ziehn_PhDWorkshopVLDB-2020.pdf
Abstract Complex Event Processing (CEP) enables autonomous and real-time decision making in data management systems. Today, applications leverage CEP only in cloud-based environments to provide prompt reactions, although data are generated outside the cloud. In particular, the Internet of Things (IoT) will increase the number of data producers that a single IoT application has to handle millions of de-vices. The centralized data collection before applying data processing introduces a critical bottleneck in current cloud-based solutions, especially for delay-sensitive IoT applications. To overcome this bottleneck, fog computing emerged as a paradigm to process data close to the network edge. However, CEP systems are not yet ready to leverage the fog layer as an extension for cloud-based stream processing. In this paper, we examine how the current system has to adapt to exploit the new capabilities of the fog for CEP. To this end, we analyze principal CEP methodologies and propose new solutions. With this work, we lay the foundation for large-scale in-network CEP applications on top of the IoT.
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