Showcasing Data Management Challenges for Future IoT Applications with NebulaStream

IF 2.6 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Proceedings of the Vldb Endowment Pub Date : 2023-08-01 DOI:10.14778/3611540.3611588

Aljoscha Lepping, Hoang Mi Pham, Laura Mons, Balint Rueb, Philipp M. Grulich, Ankit Chaudhary, Steffen Zeuch, Volker Markl

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引用次数: 0

Abstract

Data management systems will face several new challenges in supporting IoT applications during the coming years. These challenges arise from managing large numbers of heterogeneous IoT devices and require combining elastic cloud and fog resources in unified fog-cloud environments. In this demonstration, we introduce a smart city simulation called IoTropolis and use it to create interactive eHealth and Smart Grid application scenarios. We use these scenarios to showcase three key challenges of unified fog-cloud environments. Furthermore, we demonstrate how our recently proposed data management system for the IoT NebulaStream addresses these challenges. Visitors to our demonstration can configure and interact with the scenarios to manage electricity usage in IoTropolis or to distribute patients across different hospitals. Thereby, visitors can actively engage with the challenges showcased by IoTropolis and utilize NebulaStream to address them. As a result, our demonstration enables visitors to experience data management for future IoT applications.

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利用星云流展示未来物联网应用的数据管理挑战

未来几年，数据管理系统在支持物联网应用方面将面临几个新的挑战。这些挑战来自于管理大量异构物联网设备，需要在统一的雾云环境中结合弹性云和雾资源。在本次演示中，我们介绍了一个名为IoTropolis的智能城市模拟，并使用它来创建交互式电子健康和智能电网应用场景。我们使用这些场景来展示统一雾云环境的三个关键挑战。此外，我们展示了我们最近提出的物联网NebulaStream数据管理系统如何应对这些挑战。参观我们演示的人可以配置并与场景交互，以管理IoTropolis的电力使用或将患者分配到不同的医院。因此，参观者可以积极参与IoTropolis展示的挑战，并利用NebulaStream来解决这些挑战。因此，我们的演示使参观者能够体验未来物联网应用的数据管理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Proceedings of the Vldb Endowment Computer Science-General Computer Science

CiteScore

7.70

自引率

0.00%

发文量

期刊介绍： The Proceedings of the VLDB (PVLDB) welcomes original research papers on a broad range of research topics related to all aspects of data management, where systems issues play a significant role, such as data management system technology and information management infrastructures, including their very large scale of experimentation, novel architectures, and demanding applications as well as their underpinning theory. The scope of a submission for PVLDB is also described by the subject areas given below. Moreover, the scope of PVLDB is restricted to scientific areas that are covered by the combined expertise on the submission’s topic of the journal’s editorial board. Finally, the submission’s contributions should build on work already published in data management outlets, e.g., PVLDB, VLDBJ, ACM SIGMOD, IEEE ICDE, EDBT, ACM TODS, IEEE TKDE, and go beyond a syntactic citation.