2017
DOI: 10.1109/tcc.2015.2440245
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Tandem Equipment Arranged Architecture with Exhaust Heat Reuse System for Software-Defined Data Center Infrastructure

Abstract: In this paper, we propose a novel energy-efficient architecture for software-defined data center infrastructures. In our proposed data center architecture, we include an exhaust heat reuse system that utilizes high-temperature exhaust heat from servers in conditioning humidity and air temperature of office space near the data center. To obtain high-temperature exhaust heat, equipment such as server racks and air conditioners are deployed in tandem so that the aisles are divided into three types: cold, hot, and… Show more

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Cited by 17 publications
(13 citation statements)
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References 19 publications
(24 reference statements)
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“…The tandem data center model is based on a novel equipment arrangement proposed in our previous study [8]. In the tandem data center model, aisles are divided into cold, hot, and super hot aisles, by arranging the exhaust side of one row (the first row) to face the inlet side of the other row (the second row) as shown in Fig.…”
Section: Tandem Data Center Modelmentioning
confidence: 99%
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“…The tandem data center model is based on a novel equipment arrangement proposed in our previous study [8]. In the tandem data center model, aisles are divided into cold, hot, and super hot aisles, by arranging the exhaust side of one row (the first row) to face the inlet side of the other row (the second row) as shown in Fig.…”
Section: Tandem Data Center Modelmentioning
confidence: 99%
“…In our research group, we have started a project to de- Copyright c 2016 The Institute of Electronics, Information and Communication Engineers velop an augmented data center infrastructure management system (A-DCIM) for coordinated and energy-efficient operation of data center infrastructure units such as servers, air conditioners, exhaust heat reuse systems, and so on [8].…”
Section: Introductionmentioning
confidence: 99%
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“…In [3], the focus in on air conditioners, which are one of the main energy consumers in data centers. The authors observe that private data centers are often placed within larger buildings, and therefore are adjacent to office space.…”
mentioning
confidence: 99%