The measurement of Data Center (DC) energy efficiency is a complicated problem, which depends on its architecture, workload and the environmental conditions, and its estimation has attracted a lot of research. Recently, several metrics were proposed to calculate the energy efficiency in DCs. However, none of the currently proposed metrics provides a direct measure of the useful work in a DC. To this end, this work aims to characterise the energy consumed by different types of server workloads to advance current understanding on the calculation of useful work within a DC. In detail, several measurements of the energy consumption employing different workload configurations were performed to understand the behaviour of energy consumption by each workload category. Workloads were simulated using benchmarks that can provide a preliminary assessment of the workload-related metrics. The Input/Output Operation Per Second (IOPS) parameter, which is a standard performance measurement, was employed in the present analysis. In this paper, the proposed procedure has evaluated in experimental campaigns on the ENEA-C.R. Portici facilities. © 2016 IEEE.

Understanding 'workload-related' metrics for energy efficiency in Data Center

Chinnici, M.;Quintiliani, A.
2016

Abstract

The measurement of Data Center (DC) energy efficiency is a complicated problem, which depends on its architecture, workload and the environmental conditions, and its estimation has attracted a lot of research. Recently, several metrics were proposed to calculate the energy efficiency in DCs. However, none of the currently proposed metrics provides a direct measure of the useful work in a DC. To this end, this work aims to characterise the energy consumed by different types of server workloads to advance current understanding on the calculation of useful work within a DC. In detail, several measurements of the energy consumption employing different workload configurations were performed to understand the behaviour of energy consumption by each workload category. Workloads were simulated using benchmarks that can provide a preliminary assessment of the workload-related metrics. The Input/Output Operation Per Second (IOPS) parameter, which is a standard performance measurement, was employed in the present analysis. In this paper, the proposed procedure has evaluated in experimental campaigns on the ENEA-C.R. Portici facilities. © 2016 IEEE.
9781509027200
Energy metrics;Energy efficiency;Data Center
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12079/5002
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
social impact