Integrated Performance Tuning of an IIoT Digital Twin: Work-in-Progress
| Autor(en): | Iyenghar, P. Sundharam, S.M. Pulvermueller, E. |
Herausgeber: | Mitra, T. Gerstlauer, A. |
Stichwörter: | Digital integrated circuits; Digital twin; Embedded systems; Firmware; Life cycle; Software design, Cyber-physical systems (CPS); Performance tuning; Real-world; Software development life cycle; Work in progress, Industrial internet of things (IIoT) | Erscheinungsdatum: | 2020 | Herausgeber: | Institute of Electrical and Electronics Engineers Inc. | Journal: | Proceedings of the 2020 International Conference on Embedded Software, EMSOFT 2020 | Startseite: | 7 | Seitenende: | 9 | Zusammenfassung: | In this paper we propose an approach for an integrated and iterative performance tuning of an Industrial Internet of Things (IIoT) digital twin. Using the systematic series of steps in the proposed approach, the digital twin- linked to its real-world counterpart, can now be used in differentways to predict, refine, fine tune and optimize the operation of the asset (e.g. Cyber Physical System (CPS) in the IIoT plant) during various stages of its software development life cycle. © 2020 IEEE. |
Beschreibung: | Conference of 14th Turkish National Software Engineering Symposium, UYMS 2020 ; Conference Date: 7 October 2020 Through 9 October 2020; Conference Code:164903 |
ISBN: | 9781728191959 | DOI: | 10.1109/EMSOFT51651.2020.9244020 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097654038&doi=10.1109%2fEMSOFT51651.2020.9244020&partnerID=40&md5=b002d7b6eb9c9f61dee1fd971186cd5e |
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geprüft am 17.05.2024
