Brockhaus, Benjamin ; Gast, Fabian ; Weigold, Matthias
Hrsg.: Bauernhansl, Thomas ; Verl, Alexander ; Liewald, Mathias ; Möhring, Hans-Christian (2024)
Modeling of an edge computing cluster for optimized distribution of tasks in production environments.
13th Congress of the German Academic Association for Production Technology (WGP). Freudenstadt (20.11.2023-23.11.2023)
doi: 10.1007/978-3-031-47394-4_5
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Due to the digitalization of production, a vast amount of data is being generated that, through analysis and processing, offers new opportunities for implementing efficiency improvements. To process the data in real time, existing computers at the edge of production networks can be interconnected to form an edge computing cluster to distribute additional tasks among these devices. On the shop floor, satisfying latency requirements is necessary. A distribution model to optimally distribute tasks to existing computing resources is presented. The distribution model relies on a model of the network formed by the distributed edge computing nodes and their connections. Both computing nodes and their connections are characterized with various attributes. A metaheuristic approach is used to solve the optimization problem of the best distribution of tasks regarding latency and reliability.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2024 |
| Herausgeber: | Bauernhansl, Thomas ; Verl, Alexander ; Liewald, Mathias ; Möhring, Hans-Christian |
| Autor(en): | Brockhaus, Benjamin ; Gast, Fabian ; Weigold, Matthias |
| Art des Eintrags: | Bibliographie |
| Titel: | Modeling of an edge computing cluster for optimized distribution of tasks in production environments |
| Sprache: | Englisch |
| Publikationsjahr: | 2024 |
| Ort: | Cham |
| Verlag: | Springer Nature |
| Buchtitel: | Production at the leading edge of technology : proceedings of the 13th Congress of the German Academic Association for Production Technology (WGP) |
| Reihe: | Lecture Notes in Production Engineering |
| Veranstaltungstitel: | 13th Congress of the German Academic Association for Production Technology (WGP) |
| Veranstaltungsort: | Freudenstadt |
| Veranstaltungsdatum: | 20.11.2023-23.11.2023 |
| DOI: | 10.1007/978-3-031-47394-4_5 |
| Kurzbeschreibung (Abstract): | Due to the digitalization of production, a vast amount of data is being generated that, through analysis and processing, offers new opportunities for implementing efficiency improvements. To process the data in real time, existing computers at the edge of production networks can be interconnected to form an edge computing cluster to distribute additional tasks among these devices. On the shop floor, satisfying latency requirements is necessary. A distribution model to optimally distribute tasks to existing computing resources is presented. The distribution model relies on a model of the network formed by the distributed edge computing nodes and their connections. Both computing nodes and their connections are characterized with various attributes. A metaheuristic approach is used to solve the optimization problem of the best distribution of tasks regarding latency and reliability. |
| Freie Schlagworte: | edge computing, service-placement, metaheuristic |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > TEC Fertigungstechnologie |
| Hinterlegungsdatum: | 30 Nov 2023 06:38 |
| Letzte Änderung: | 05 Jul 2024 07:56 |
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