The Internet of Things as a Privacy-Aware Database Machine

Heuer, Andreas and Grunert, Hannes (2020) The Internet of Things as a Privacy-Aware Database Machine. Open Journal of Internet Of Things (OJIOT), 6 (1). pp. 53-65. ISSN 2364-7108

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Abstract

Instead of using a computer cluster with homogeneous nodes and very fast high bandwidth connections, we want to present the vision to use the Internet of Things (IoT) as a database machine. This is among others a key factor for smart (assistive) systems in apartments (AAL, ambient assisted living), offices (AAW, ambient assisted working), Smart Cities as well as factories (IIoT, Industry 4.0). It is important to massively distribute the calculation of analysis results on sensor nodes and other low-resource appliances in the environment, not only for reasons of performance, but also for reasons of privacy and protection of corporate knowledge. Thus, functions crucial for assistive systems, such as situation, activity, and intention recognition, are to be automatically transformed not only in database queries, but also in local nodes of lower performance. From a database-specific perspective, analysis operations on large quantities of distributed sensor data, currently based on classical big-data techniques and executed on large, homogeneously equipped parallel computers have to be automatically transformed to billions of processors with energy and capacity restrictions. In this visionary paper, we will focus on the database-specific perspective and the fundamental research questions in the underlying database theory.

Item Type: Article
Subjects: Forschungsthemen > Anfrageoptimierung
Forschungsthemen > Big Data Analytics
Autorenart > DBIS-Publikationen
Projekte > MuSAMA
Rahmenprojekte > PArADISE
Forschungsthemen > Privacy Aware Query Processing
Depositing User: Dbis Admin
Date Deposited: 28 Jul 2020 07:03
Last Modified: 28 Jul 2020 07:03
URI: http://eprints.dbis.informatik.uni-rostock.de/id/eprint/1027

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