DocumentCode
142206
Title
Data centre optimization for energy efficiency improvement
Author
Wiboonrat, Montri
Author_Institution
Coll. of Grad. Study in Manage., Khon Kaen Univ., Bangkok, Thailand
Volume
3
fYear
2014
fDate
26-28 April 2014
Firstpage
1779
Lastpage
1787
Abstract
Billion transactions of business operations lead to huge energy consumption inside data centres. Over sizing design data centre is double energy requirements in term of electrical draw-out and heat rejection. Moreover, over design data centre causes of surplus capital expenditure (CapEx) and lifetime operating expenditure (OpEx). Legacy data centres designed before the 2nd millenniums are over design capacity more than 50 percent of actual loaded. How to redesign and use more energy efficiency for data centre is a research problem. The research objective is created a model transformation approach from legacy data centre to mobile and modular data centre (M2DC). The research proposed a multivariate optimization for the right sizing of data centre as business needs by using data centre project case studies. The qualitative research method is investigation and assessment through 21 sample data centres and in-depth interviews with IT managers (32) and data centre consultants (8). The fact findings have shown the standardized modular of M2DC force requirements to fit in the building boxes and expansion as needs. The simulation model is demonstrated the power usage effectiveness (PUE) improved more than 30 percent.
Keywords
computer centres; energy conservation; energy consumption; mobile computing; organisational aspects; power aware computing; project management; CapEx; M2DC; PUE improvement; business needs; business operations; capital expenditure; data centre optimization; data centre project; data centre sizing; design capacity; electrical draw-out; energy consumption; energy efficiency improvement; heat rejection; legacy data centres; lifetime OpEx; lifetime operating expenditure; mobile and modular data centre; model transformation approach; multivariate optimization; power usage effectiveness improvement; simulation model; standardized modular; Availability; Cooling; Energy efficiency; Investment; Mobile communication; Servers; data centre; energy efficiency; power usage effectiveness;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location
Sapporo
Print_ISBN
978-1-4799-3196-5
Type
conf
DOI
10.1109/InfoSEEE.2014.6946229
Filename
6946229
Link To Document