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Journal of Information and Telecommunication
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Model of IoT design decision-making processes in Flow Based Programming systems

Authors: Cezary Orłowski; Marcin Adrych;

Model of IoT design decision-making processes in Flow Based Programming systems

Abstract

The aim of the article is to present a model of decision-making processes in the design of flow-based Internet of Things systems. This is an attempt to fill the research gap in the construction of decision-making systems for designing both infrastructure and the application development environment. Therefore, the aim of the article is to show a decision-making model for selecting infrastructure and design environment for the development of IoT systems. In order for these processes to be implemented, it is necessary to use containerization processes and Flow Based Programming systems, both at the stage of system prototyping and its subsequent implementation.The model verification was carried out on the example of design in accordance with the assumptions of the parallel design process model proposed in the article, using the infrastructure as code approach in infrastructure design, the Docker process for creating containers, publisher and subscriber design in Node Red, and Postgress database design.

Keywords

Node-Red, Telecommunication, Flow Base Programming systems, Docker processes in the development of IoT systems, TK5101-6720, Information technology, T58.5-58.64, decision problems in the parallel centre of IT systems development

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold