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Found 4 papers, 1 papers with code
Heuristics and Metaheuristics for Dynamic Management of Computing and Cooling Energy in Cloud Data Centers
Data centers handle impressive high figures in terms of energy consumption, and the growing popularity of Cloud applications is intensifying their computational demand.
Bringing AI to the edge: A formal M&S specification to deploy effective IoT architectures
The Internet of Things is transforming our society, providing new services that improve the quality of life and resource management.
Runtime data center temperature prediction using Grammatical Evolution techniques
By using Gramatical Evolution techniques, this paper presents a methodology for the generation of temperature models for data centers and the runtime prediction of CPU and inlet temperature under variable cooling setups.
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks
This paper proposes a time-series data augmentation methodology based on synthetic scenario forecasting within the Data Center.
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