Energy efficiency in Data Centers (DCs) is currently becoming a topic of increasing importance, considering the rising prices of energy and the expansion of large data sets (Big Data) processing demand. A structured measurement framework that can be used to quantify energy efficiency is required to understand the opportunities for improving energy efficiency in DCs. In other words, a detailed analysis of energy metrics is needed. However, only a small step forward has been made in the measurement of DCs’ energy efficiency in recent years. Therefore, the measurement of energy efficiency in DCs, through a set of globally accepted metrics, is an ongoing challenge. This chapter presents a comprehensive overview of the existing energy, thermal and productivity metrics for DCs and a critical analysis that investigates the intertwined nature of their action areas. The study provides a general methodology that can be used to measure the energy efficiency of DCs through a holistic approach in which the advantages and the disadvantages of existing and emerging metrics are considered critically.

Measuring energy efficiency in data centers / Chinnici, M; Capozzoli, Alfonso; Serale, Gianluca - In: Pervasive Computing Next Generation Platforms for Intelligent Data Collection / Dobre C., Xhafa F.. - STAMPA. - Cambridge, Massachusetts : Academic Press, 2016. - ISBN 9780128036631. - pp. 299-351 [10.1016/B978-0-12-803663-1.00010-3]

Measuring energy efficiency in data centers

CAPOZZOLI, ALFONSO;SERALE, GIANLUCA
2016

Abstract

Energy efficiency in Data Centers (DCs) is currently becoming a topic of increasing importance, considering the rising prices of energy and the expansion of large data sets (Big Data) processing demand. A structured measurement framework that can be used to quantify energy efficiency is required to understand the opportunities for improving energy efficiency in DCs. In other words, a detailed analysis of energy metrics is needed. However, only a small step forward has been made in the measurement of DCs’ energy efficiency in recent years. Therefore, the measurement of energy efficiency in DCs, through a set of globally accepted metrics, is an ongoing challenge. This chapter presents a comprehensive overview of the existing energy, thermal and productivity metrics for DCs and a critical analysis that investigates the intertwined nature of their action areas. The study provides a general methodology that can be used to measure the energy efficiency of DCs through a holistic approach in which the advantages and the disadvantages of existing and emerging metrics are considered critically.
2016
9780128036631
Pervasive Computing Next Generation Platforms for Intelligent Data Collection
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

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: https://hdl.handle.net/11583/2653545
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo