Twin2Clouds: Cost-Aware Digital Twin Engineering and Deployment Across Federated Clouds

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Abstract

The paper presents Twin2Clouds, a novel framework that makes deploying digital twins across multiple cloud providers significantly more cost-efficient. By structuring digital twin architectures into five cloud-oriented layers and applying cloud-agnostic pricing models, the system identifies the most economical services for each layer. In real-world evaluations- from a smart home with 100 devices to a smart building with 30,000 devices – Twin2Clouds reduced monthly cloud costs by an average of 24.6%, and in some cases by up to 79%, compared to single-provider solutions. This innovation equips engineers with a vendor-neutral, reproducible, and scalable approach to digital twin deployment, paving the way for more sustainable and economically viable applications in smart infrastructure and beyond.
Original languageEnglish
Title of host publicationCompanion Proceedings of the IEEE/ACM 28th International Conference on Model Driven Engineering Languages and Systems (MODELS 25)
Number of pages12
DOIs
Publication statusPublished - 08 Oct 2025
EventThe 2nd International Conference on Engineering Digital Twins co-located with MODELS 2025: EDTconf 2025 - University of Michigan - Ann Arbor, 1109 Geddes Ave, Ann Arbor 48109-1079, United States
Duration: 06 Oct 202507 Oct 2025
https://conf.researchr.org/home/edtconf-2025/

Conference

ConferenceThe 2nd International Conference on Engineering Digital Twins co-located with MODELS 2025
Abbreviated titleEDTconf 2025
Country/TerritoryUnited States
City1109 Geddes Ave, Ann Arbor 48109-1079
Period06.10.202507.10.2025
Internet address

Fields of science

  • 102020 Medical informatics
  • 102022 Software development
  • 102006 Computer supported cooperative work (CSCW)
  • 102027 Web engineering
  • 502050 Business informatics
  • 102040 Quantum computing 
  • 102016 IT security
  • 503015 Subject didactics of technical sciences
  • 509026 Digitalisation research
  • 102015 Information systems
  • 102034 Cyber-physical systems
  • 502032 Quality management
  • 211928 Systems engineering

JKU Focus areas

  • Digital Transformation

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