Cited By
View all- Bash CMcDonald JMilojicic DMueller JWilson TZhang Y(2025)Convergence of Energy and IT SectorsComputer10.1109/MC.2024.349857258:1(151-158)Online publication date: 1-Jan-2025
Digital Twins for Data Centers
Authors: 
Jyotika Athavale, Cullen Bash, Wesley Brewer, Matthias Maiterth, Dejan Milojicic, Harry Petty, Soumyendu SarkarAuthors Info & Claims
Jyotika Athavale, Cullen Bash, Wesley Brewer, Matthias Maiterth, Dejan Milojicic, Harry Petty, Soumyendu SarkarAuthors Info & ClaimsAbstract
Digital twins provide living digital models of physical systems that enable data-driven analysis and application of artificial intelligence to better manage selective aspects of the data center and drive efficiency for sustainability.
References
[1]
P. Faraboschi, E. Frachtenberg, P. Laplante, D. Milojicic, and R. Saracco, “Digital transformation: Lights and shadows,” Computer, vol. 56, no. 4, pp. 123–130, Apr. 2023.
[2]
M. Arlitt et al., “Towards the design and operation of net-zero energy data centers,” in Proc. 13th Intersoc. Conf. Therm. Thermomech. Phenom. Electron. Syst., San Diego, CA, USA, 2012, pp. 552–561.
[3]
National Academies of Sciences, Engineering, and Medicine (NASEM). Foundational Research Gaps and Future Directions for Digital Twins. Washington, DC, USA: The National Academies Press, 2024.
[4]
A. Glaser. “19 ways digital twins improve data center sustainability.” VentureBeat. 2023. Accessed: Aug. 9, 2024. [Online]. Available: https://venturebeat.com/ai/19-ways-digital-twins-improve-data-center-sustainability/
[5]
W. Brewer et al., “A digital twin framework for liquid-cooled supercomputers as demonstrated at exascale,” in Proc. Int. Conf. High Perform. Comput., Netw., Storage, Anal. (SC), to be published.
[6]
C. Bash, J. Bian, D. Milojicic, C. D. Patel, L. Strezoski, and V. Terzija, “Energy supplies for future data centers,” Computer, vol. 57, no. 7, pp. 126–134, Jul. 2024.
[7]
IEA, “Electricity 2024 - Analysis and forecast to 2026.” Accessed: Apr. 4, 2024. [Online]. Available: https://www.iea.org/reports/electricity-2024
[8]
S. Qi, D. Milojicic, C. Bash, and S. Pasricha, “SHIELD: Sustainable hybrid evolutionary learning framework for carbon, wastewater, and energy-aware data center management,” in Proc. 14th Int. Green Sustain. Comput. Conf., 2023, pp. 56–62.
[9]
“OpenUSD for 3D interoperability - Alliance for OpenUSD.” Universal Scene Description. [Online]. Available: http://openusd.org
[10]
S. Sarkar et al., “Real-time carbon footprint minimization in sustainable data centers with reinforcement learning,” presented at the NeurIPS Workshop Tackling Climate Change Machine Learn., 2023, Paper #28. [Online]. Available: https://www.climatechange.ai/papers/neurips2023/28
[11]
S. Sarkar et al., “Carbon footprint reduction for sustainable data centers in real-time,” Proc. AAAI Conf. Artif. Intell., vol. 38, no. 20, pp. 22,322–22,330, 2024.
[12]
M. Maiterth et al., “Visualizing an exascale data center digital twin: Considerations, challenges and opportunities,” in Proc. IEEE Visualization Vis. Analytics (VIS), St. Pete Beach, FL, USA, accepted for publication.
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- Digital Twins for Data Centers
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0018-9162 © 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.
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IEEE Computer Society Press
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Published: 01 October 2024
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View all- Bash CMcDonald JMilojicic DMueller JWilson TZhang Y(2025)Convergence of Energy and IT SectorsComputer10.1109/MC.2024.349857258:1(151-158)Online publication date: 1-Jan-2025