Low-Code Internet of Things Application Development for Edge Analytics

Hafiz Ahmad Awais Chaudhary; Ivan Guevara; Jobish John; Amandeep Singh; Tiziana Margaria; Dirk Pesch

doi:10.1007/978-3-031-18872-5_17

Low-Code Internet of Things Application Development for Edge Analytics

Hafiz Ahmad Awais Chaudhary
, Ivan Guevara
, Jobish John
, Amandeep Singh
, Tiziana Margaria
, Dirk Pesch

University College Cork
University of Limerick
Centre for Research Training in Artificial Intelligence (CRT AI)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Internet of Things (IoT) applications combined with edge analytics are increasingly developed and deployed across a wide range of industries by engineers who are non-expert software developers. In order to enable them to build such IoT applications, we apply low-code technologies in this case study based on Model Driven Development. We use two different frameworks: DIME for the application design and implementation of IoT and edge aspects as well as analytics in R, and Pyrus for data analytics in Python, demonstrating how such engineers can build innovative IoT applications without having the full coding expertise. With this approach, we develop an application that connects a range of heterogeneous technologies: sensors through the EdgeX middleware platform with data analytics and web based configuration applications. The connection to data analytics pipelines can provide various kinds of information to the application users. Our innovative development approach has the potential to simplify the development and deployment of such applications in industry.

Original language	English
Title of host publication	Internet of Things. IoT through a Multi-disciplinary Perspective - 5th IFIP International Cross-Domain Conference, IFIPIoT 2022, Proceedings
Editors	Luis M. Camarinha-Matos, Luis Ribeiro, Leon Strous
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	293-312
Number of pages	20
ISBN (Print)	9783031188718
DOIs	https://doi.org/10.1007/978-3-031-18872-5_17
Publication status	Published - 2022
Event	5th IFIP International Cross-Domain Conference on Internet of Things, IFIPIoT 2022 - Amsterdam, Netherlands Duration: 27 Oct 2022 → 28 Oct 2022

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	665 IFIP
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	5th IFIP International Cross-Domain Conference on Internet of Things, IFIPIoT 2022
Country/Territory	Netherlands
City	Amsterdam
Period	27/10/22 → 28/10/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Edge analytics
Low code
Model driven development

Access to Document

10.1007/978-3-031-18872-5_17

Cite this

Chaudhary, H. A. A., Guevara, I., John, J., Singh, A., Margaria, T., & Pesch, D. (2022). Low-Code Internet of Things Application Development for Edge Analytics. In L. M. Camarinha-Matos, L. Ribeiro, & L. Strous (Eds.), Internet of Things. IoT through a Multi-disciplinary Perspective - 5th IFIP International Cross-Domain Conference, IFIPIoT 2022, Proceedings (pp. 293-312). (IFIP Advances in Information and Communication Technology; Vol. 665 IFIP). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-18872-5_17

Chaudhary, Hafiz Ahmad Awais ; Guevara, Ivan ; John, Jobish et al. / Low-Code Internet of Things Application Development for Edge Analytics. Internet of Things. IoT through a Multi-disciplinary Perspective - 5th IFIP International Cross-Domain Conference, IFIPIoT 2022, Proceedings. editor / Luis M. Camarinha-Matos ; Luis Ribeiro ; Leon Strous. Springer Science and Business Media Deutschland GmbH, 2022. pp. 293-312 (IFIP Advances in Information and Communication Technology).

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abstract = "Internet of Things (IoT) applications combined with edge analytics are increasingly developed and deployed across a wide range of industries by engineers who are non-expert software developers. In order to enable them to build such IoT applications, we apply low-code technologies in this case study based on Model Driven Development. We use two different frameworks: DIME for the application design and implementation of IoT and edge aspects as well as analytics in R, and Pyrus for data analytics in Python, demonstrating how such engineers can build innovative IoT applications without having the full coding expertise. With this approach, we develop an application that connects a range of heterogeneous technologies: sensors through the EdgeX middleware platform with data analytics and web based configuration applications. The connection to data analytics pipelines can provide various kinds of information to the application users. Our innovative development approach has the potential to simplify the development and deployment of such applications in industry.",

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doi = "10.1007/978-3-031-18872-5\_17",

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Chaudhary, HAA, Guevara, I, John, J, Singh, A, Margaria, T & Pesch, D 2022, Low-Code Internet of Things Application Development for Edge Analytics. in LM Camarinha-Matos, L Ribeiro & L Strous (eds), Internet of Things. IoT through a Multi-disciplinary Perspective - 5th IFIP International Cross-Domain Conference, IFIPIoT 2022, Proceedings. IFIP Advances in Information and Communication Technology, vol. 665 IFIP, Springer Science and Business Media Deutschland GmbH, pp. 293-312, 5th IFIP International Cross-Domain Conference on Internet of Things, IFIPIoT 2022, Amsterdam, Netherlands, 27/10/22. https://doi.org/10.1007/978-3-031-18872-5_17

Low-Code Internet of Things Application Development for Edge Analytics. / Chaudhary, Hafiz Ahmad Awais; Guevara, Ivan; John, Jobish et al.
Internet of Things. IoT through a Multi-disciplinary Perspective - 5th IFIP International Cross-Domain Conference, IFIPIoT 2022, Proceedings. ed. / Luis M. Camarinha-Matos; Luis Ribeiro; Leon Strous. Springer Science and Business Media Deutschland GmbH, 2022. p. 293-312 (IFIP Advances in Information and Communication Technology; Vol. 665 IFIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Internet of Things (IoT) applications combined with edge analytics are increasingly developed and deployed across a wide range of industries by engineers who are non-expert software developers. In order to enable them to build such IoT applications, we apply low-code technologies in this case study based on Model Driven Development. We use two different frameworks: DIME for the application design and implementation of IoT and edge aspects as well as analytics in R, and Pyrus for data analytics in Python, demonstrating how such engineers can build innovative IoT applications without having the full coding expertise. With this approach, we develop an application that connects a range of heterogeneous technologies: sensors through the EdgeX middleware platform with data analytics and web based configuration applications. The connection to data analytics pipelines can provide various kinds of information to the application users. Our innovative development approach has the potential to simplify the development and deployment of such applications in industry.

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BT - Internet of Things. IoT through a Multi-disciplinary Perspective - 5th IFIP International Cross-Domain Conference, IFIPIoT 2022, Proceedings

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T2 - 5th IFIP International Cross-Domain Conference on Internet of Things, IFIPIoT 2022

Y2 - 27 October 2022 through 28 October 2022

ER -

Chaudhary HAA, Guevara I, John J, Singh A, Margaria T, Pesch D. Low-Code Internet of Things Application Development for Edge Analytics. In Camarinha-Matos LM, Ribeiro L, Strous L, editors, Internet of Things. IoT through a Multi-disciplinary Perspective - 5th IFIP International Cross-Domain Conference, IFIPIoT 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 293-312. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-031-18872-5_17