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• W2895543769 abstract "This work analyzes a very subtle kind of energy metrics for Data Centers (DCs), namely productivity metrics which affect the global energy efficiency assessment in a DC since they focus on the energy used for processing computing operations. By exploiting the available set of energy consumption data concerning operating systems in ENEA-DC, HPC-Cluster, the authors evaluated the energy consumed by different queues with several running applications. The queues energy waste has been calculated to provide an assessment for the ineffective use of computation-related energy load within the Cluster. This work shows an increment innovation beyond state-of-the-art for productivity metrics and useful work, and it will also help provide an invaluable insight into useful energy use and the use of enhanced sustainability metrics with the goal of driving a more sustainable DC. Additionally, sustainability concept in DC operations is driven by estimation of its indirect carbon emissions, which is shown in this work." @default.
• W2895543769 created "2018-10-12" @default.
• W2895543769 creator A5003482292 @default.
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• W2895543769 date "2019-01-01" @default.
• W2895543769 modified "2023-10-08" @default.
• W2895543769 title "Energy-Oriented Analysis of HPC Cluster Queues: Emerging Metrics for Sustainable Data Center" @default.
• W2895543769 cites W1575704518 @default.
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• W2895543769 doi "https://doi.org/10.1007/978-3-030-21507-1_41" @default.
• W2895543769 hasPublicationYear "2019" @default.
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