2021
DOI: 10.3390/app11114719
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Towards Energy Efficiency in Data Centers: An Industrial Experience Based on Reuse and Layout Changes

Abstract: Data centers are widely recognized for demanding many energy resources. The greater the computational demand, the greater the use of resources operating together. Consequently, the greater the heat, the greater the need for cooling power, and the greater the energy consumption. In this context, this article aims to report an industrial experience of achieving energy efficiency in a data center through a new layout proposal, reuse of previously existing resources, and air conditioning. We used the primary resou… Show more

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Cited by 3 publications
(1 citation statement)
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“…In fact, between data and knowledge there is an entire data life-cycle to be covered [33]. For this reason, too many data, collected and not fully utilized, can increase confusion, damper knowledge extraction process [38], and increase costs [39]. Moreover, an additional problem arising in data-driven contexts is the difficult provision of the right data to the right "person", otherwise the usefulness of the entire system becomes borderline [40].…”
Section: Data Vs Valuementioning
confidence: 99%
“…In fact, between data and knowledge there is an entire data life-cycle to be covered [33]. For this reason, too many data, collected and not fully utilized, can increase confusion, damper knowledge extraction process [38], and increase costs [39]. Moreover, an additional problem arising in data-driven contexts is the difficult provision of the right data to the right "person", otherwise the usefulness of the entire system becomes borderline [40].…”
Section: Data Vs Valuementioning
confidence: 99%