Distributed Sensor Management for an Industrial DevOps Monitoring Platform.

Ehrenstein, Simon Bela Nicolay Fritz Alexander (2019) Distributed Sensor Management for an Industrial DevOps Monitoring Platform. (Bachelor thesis), Kiel University, Kiel, 61 pp.

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Abstract

The organization of sensors is fundamental for monitoring systems since sensor-associated data is substantial for generating information about the target infrastructure. In this work, we propose how a sensor management can be integrated into a microservice based architecture, for the monitoring of the electrical power consumption in industrial environments, in order to apply Industrial DevOps. Aiming at improving the performance of the system, we introduce the sensor management as a microservice that allows identifying sensors internally with numerical identifiers that are decoupled from the external representation of sensors. Moreover, we allow a flexible hierarchial organization of sensors which provides the basis for other microservices to aggregate monitoring data with respect to the most recent hierarchial organization. We provide a prototype implementation of our approach which we evaluate in various scenarios that cover different functional requirements of our approach. Although, we are not able to show that our internal format for the representation of sensors yields to an improved performance for realistic scenarios, we provide the base for a dedicated performance analysis in a realistic production environment, where it can be analyzed whether and how the performance of the system can be improved by representing sensors internally with a numerical format.

Document Type: Thesis (Bachelor thesis)
Keywords: Industrial DevOps, Industry 4.0, Distributed Systems
Research affiliation: Kiel University > Software Engineering
Kiel University
Open Access Journal?: Yes
Projects: TITAN
Date Deposited: 21 Oct 2019 12:53
Last Modified: 21 Oct 2019 12:59
URI: https://oceanrep.geomar.de/id/eprint/48020

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