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NebulaStream: Complex Analytics Beyond the Cloud

Steffen Zeuch; Eleni Tzirita Zacharatou; Shuhao Zhang; Xenofon Chatziliadis; Ankit Chaudhary; Bonaventura Del Monte; Dimitris Giouroukis; Philipp Grulich; Ariane Ziehn; Volker Mark
In: Conference: VLIoT@VLDB '20: Proceedings of Intl. Workshop on Very Large Internet of Things. International Workshop on Very Large Internet of Things (VLIoT-2020), September 4, Pages 66-81, Open Journal of Internet of Things (OJIOT), Vol. 6, No. 1, RonPub UG, Lübeck, 1/2020.


The arising Internet of Things (IoT) will require significant changes to current stream processing engines (SPEs) to enable large-scale IoT applications. In this paper, we present challenges and opportunities for an IoT data management system to enable complex analytics beyond the cloud. As one of the most important upcoming IoT applications, we focus on the vision of a smart city. The goal of this paper is to bridge the gap between the requirements of upcoming IoT applications and the supported features of an IoT data management system. To this end, we outline how state-of-the-art SPEs have to change to exploit the new capabilities of the IoT and showcase how we tackle IoT challenges in our own system, NebulaStream. This paper lays the foundation for a new type of systems that leverages the IoT to enable large-scale applications over millions of IoT devices in highly dynamic and geo-distributed environments.


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