Statistical methods for data center thermal management

Ying Hung; Peter Z.G. Qian; C. F.Jeff Wu

doi:10.1007/978-1-4419-7124-1_11

Statistical methods for data center thermal management

Ying Hung, Peter Z.G. Qian, C. F.Jeff Wu

School of Arts and Sciences, Statistics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

A data center is an integrated IT system housing multiple-unit servers intended for providing various application services. A significant portion of the costs associated with operating and maintaining a data center is used for heat removal. A growing trend in the IT industry is to use computer experiments to study thermal properties of data centers because the corresponding physical experimentation can be time consuming, costly, or even infeasible. This chapter presents useful statistical methods for the design and analysis of data center computer experiments.

Original language	English (US)
Title of host publication	Energy Efficient Thermal Management of Data Centers
Publisher	Springer US
Pages	497-511
Number of pages	15
Volume	9781441971241
ISBN (Electronic)	9781441971241
ISBN (Print)	1441971238, 9781441971234
DOIs	https://doi.org/10.1007/978-1-4419-7124-1_11
State	Published - Aug 1 2012

All Science Journal Classification (ASJC) codes

Engineering(all)

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10.1007/978-1-4419-7124-1_11

Cite this

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Statistical methods for data center thermal management

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