Items where Author is "De Chiara, D"

Article

Chinnici, A and Ahmadzada, E and Kor, A-L and De Chiara, D and Domínguez-Díaz, A and de Marcos Ortega, L and Chinnici, M (2024) Towards Sustainability and Energy Efficiency Using Data Analytics for HPC Data Center. Electronics, 13 (17). pp. 1-14. ISSN 2079-9292 DOI: https://doi.org/10.3390/electronics13173542

Khan, W and De Chiara, D and Kor, AL and Chinnici, M (2023) Advanced data analytics modeling for evidence-based data center energy management. Physica A: Statistical Mechanics and its Applications, 624. pp. 1-20. ISSN 0378-4371 DOI: https://doi.org/10.1016/j.physa.2023.128966

Grishina, A and Chinnici, M and Kor, A-L and De Chiara, D and Guarnieri, G and Rondeau, E and Georges, JP (2022) Thermal Awareness to Enhance Data Center Energy Efficiency. Cleaner Engineering and Technology, 6. ISSN 2666-7908 DOI: https://doi.org/10.1016/j.clet.2022.100409

Grishina, A and Chinnici, M and De Chiara, D and Rondeau, E and Kor, A (2019) Energy-oriented analysis of HPC Cluster Queues: Emerging Metrics for Sustainable Data Center. Lecture Notes in Electrical Engineering, 574. pp. 286-300. ISSN 1876-1100 DOI: https://doi.org/10.1007/978-3-030-21507-1_41

Book Section

Khan, W and De Chiara, D and Kor, AL and Chinnici, M (2022) "Exploratory data analysis for data center energy management." In: e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems. The Association for Computing Machinery, pp. 571-580. ISBN 9781450393973 DOI: https://doi.org/10.1145/3538637.3539654

De Chiara, D and Chinnici, M and Kor, A-L (2020) "Data Mining for Thermal Analysis of Big Dataset of HPC-Data Center." In: Computational Science – ICCS 2020. Lecture Notes in Computer Science, 12143 . Springer, pp. 367-381. ISBN 978-3-030-50435-9 DOI: https://doi.org/10.1007/978-3-030-50436-6_27

Grishina, A and Chinnici, M and De Chiara, D and Guarnieri, G and Kor, A and Rondeau, E and Georges, J-P (2018) "DC Energy Data Measurement and Analysis for Productivity and Waste Energy Assessment." In: Proceedings - 21st IEEE International Conference on Computational Science and Engineering, CSE 2018. IEEE. ISBN 978-1-5386-7649-3 DOI: https://doi.org/10.1109/CSE.2018.00008