University of Twente Student Theses
Comparison between Digital Twin platforms
Ruizendaal, L.J.M (2025) Comparison between Digital Twin platforms.
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| Abstract: | Digital twins are widely seen as a technology to manage the complexities of cyber-physical systems as they grow in size. This has been accelerated due to the widespread adoption of IoT devices, allowing for large quantities of devices to have a network interface. Digital twin platforms provide the ability to systematically create models for physical objects, enabling continuous monitoring, simulation and optimization by utilizing networks to collect data from internet connected devices. The effectivity of an implementation is dependent on the platform chosen to create and operate the system. There are several platforms available for both local deployment and using online service providers. Two widely used online service providers are Microsoft Azure and Amazon Web Services which provide digital twin platforms Azure Digital Twin and IoT TwinMaker respectively. Both of these platforms differ significantly in pricing structure and provide different service infrastructure, integrated with their existing services. These differences are of importance when regarding low-latency systems, due to their unusual requirements. This research evaluates the pricing structure and ease of integration of both platforms in the context of a low-latency use case. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/105116 |
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