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The NebulaStream Platform: Data and Application Management for the Internet of Things
Citation key DBLP:conf/cidr/ZeuchCMGGGBTM20
Author Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian BreƟ, Jonas Traub, Volker Markl
Year 2020
Journal Conference on Innovative Data Systems Research (CIDR 2020)
Abstract The Internet of Things (IoT) presents a novel computing architecture for data management: a distributed, highly dynamic, and heterogeneous environment of massive scale. Applications for the IoT introduce new challenges for integrating the concepts of fog and cloud computing in one unified environment. In this paper, we highlight these major challenges and showcase how existing systems handle them. Based on these challenges, we introduce the NebulaStream platform, a general purpose, end-to-end data management system for the IoT. NebulaStream addresses the heterogeneity and distribution of compute and data, supports diverse data and programming models going beyond relational algebra, deals with potentially unreliable communication, and enables constant evolution under continuous operation. In our evaluation, we demonstrate the effectiveness of our approach by providing early results on partial aspects.
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