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Green Adaptation of Real-Time Web Services for Industrial CPS within a Cloud Environment

Authors :
Higuera, Teresa
Risco-Martín, José L.
Arroba, Patricia
Ayala, José L.
Source :
IEEE Transactions on Industrial Informatics, 13(3), 2017
Publication Year :
2024

Abstract

Managing energy efficiency under timing constraints is an interesting and big challenge. This work proposes an accurate power model in data centers for time-constrained servers in Cloud computing. This model, as opposed to previous approaches, does not only consider the workload assigned to the processing element, but also incorporates the need of considering the static power consumption and, even more interestingly, its dependency with temperature. The proposed model has been used in a multi-objective optimization environment in which the Dynamic Voltage and Frequency Scaling (DVFS) and workload assignment have been efficiently optimized.

Details

Database :
arXiv
Journal :
IEEE Transactions on Industrial Informatics, 13(3), 2017
Publication Type :
Report
Accession number :
edsarx.2401.16387
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/TII.2017.2693365