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Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 554116
Title Architecture Modeling of IoT Systems using a Data Distribution Service UML Profile
Author(s) Tekinerdogan, B.; Celik, T.; Köksal, Omer
Source In: The Internet of Things in the Industrial Sector / Mahmood, Z., Cham, Switzerland : Springer (Computer Science ) - ISBN 9783030248918 - p. 103 - 119.
Department(s) WASS
Information Technology
Publication type Peer reviewed book chapter
Publication year 2019
Keyword(s) Industrial internet of things - IIoT - Data distribution service - DDS - Software architecture analysis - Design optimization - Model-driven development - UML
Abstract The adoption of Internet of Things (IoT) in the industrial sector, that is the IIoT, has led to a dramatic increase in the volume of data that is usually distributed over multiple devices. To realize the distributed execution and management of IIoT systems, various requirements and quality factors must be satisfied. To reduce the effort for developing IIoT-based systems, a middleware seems to be a feasible solution. A middleware that is directly related to data-intensive systems in which quality of service parameters are explicitly considered is the Data Distribution Service (DDS) software. The DDS has been applied for the development of high-performance distributed systems such as in the defense, finance, automotive, and simulation domains. Yet, for modeling the DDS-based IIoT systems, the specific modeling abstractions are missing which impedes the overall design. To overcome this problem, we provide a UML DDS profile that can be used for modeling the architecture of DDS-based IIoT systems. Along with the profile, we propose a systematic method for applying the profile. We illustrate the application of the profile for modeling the architecture of a smart traffic system.
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