• search hit 9 of 283
Back to Result List

BPMNE4IoT: a framework for modeling, executing and monitoring IoT-driven processes

Please always quote using this URN: urn:nbn:de:bvb:20-opus-304097
  • The Internet of Things (IoT) enables a variety of smart applications, including smart home, smart manufacturing, and smart city. By enhancing Business Process Management Systems with IoT capabilities, the execution and monitoring of business processes can be significantly improved. Providing a holistic support for modeling, executing and monitoring IoT-driven processes, however, constitutes a challenge. Existing process modeling and process execution languages, such as BPMN 2.0, are unable to fully meet the IoT characteristics (e.g.,The Internet of Things (IoT) enables a variety of smart applications, including smart home, smart manufacturing, and smart city. By enhancing Business Process Management Systems with IoT capabilities, the execution and monitoring of business processes can be significantly improved. Providing a holistic support for modeling, executing and monitoring IoT-driven processes, however, constitutes a challenge. Existing process modeling and process execution languages, such as BPMN 2.0, are unable to fully meet the IoT characteristics (e.g., asynchronicity and parallelism) of IoT-driven processes. In this article, we present BPMNE4IoT—A holistic framework for modeling, executing and monitoring IoT-driven processes. We introduce various artifacts and events based on the BPMN 2.0 metamodel that allow realizing the desired IoT awareness of business processes. The framework is evaluated along two real-world scenarios from two different domains. Moreover, we present a user study for comparing BPMNE4IoT and BPMN 2.0. In particular, this study has confirmed that the BPMNE4IoT framework facilitates the support of IoT-driven processes.show moreshow less

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar Statistics
Metadaten
Author: Yusuf Kirikkayis, Florian Gallik, Michael Winter, Manfred Reichert
URN:urn:nbn:de:bvb:20-opus-304097
Document Type:Journal article
Faculties:Medizinische Fakultät / Institut für Klinische Epidemiologie und Biometrie
Language:English
Parent Title (English):Future Internet
ISSN:1999-5903
Year of Completion:2023
Volume:15
Issue:3
Article Number:90
Source:Future Internet (2023) 15:3, 90. https://doi.org/10.3390/fi15030090
DOI:https://doi.org/10.3390/fi15030090
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Tag:BPM; BPMN; IoT; IoT-driven processes
Release Date:2024/03/07
Date of first Publication:2023/02/22
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International