TY - GEN
T1 - A transient model for data center thermal prediction
AU - Jonas, Michael
AU - Gilbert, Rose Robin
AU - Ferguson, Joshua
AU - Varsamopoulos, Georgios
AU - Gupta, Sandeep
PY - 2012
Y1 - 2012
N2 - Fast thermal maps are a crucial component for many green data center design techniques. However, most state of the art work on thermal mapping ignores critical temporal aspects of thermal behavior and relies on modeling assumptions, such as the steady state assumption, that can reduce their accuracy and cause heat-induced performance throttling when used for task scheduling. These problems have the potential to affect the energy savings projected by such models. This paper introduces a fast thermal modeling technique that captures the transient behavior necessary to improve thermal prediction capability while retaining the fast thermal model required for many green data center design paradigms. This model is compared against Computational Fluid Dynamics (CFD) simulations (using OpenFOAM) and an open platform framework, namely BlueTool.
AB - Fast thermal maps are a crucial component for many green data center design techniques. However, most state of the art work on thermal mapping ignores critical temporal aspects of thermal behavior and relies on modeling assumptions, such as the steady state assumption, that can reduce their accuracy and cause heat-induced performance throttling when used for task scheduling. These problems have the potential to affect the energy savings projected by such models. This paper introduces a fast thermal modeling technique that captures the transient behavior necessary to improve thermal prediction capability while retaining the fast thermal model required for many green data center design paradigms. This model is compared against Computational Fluid Dynamics (CFD) simulations (using OpenFOAM) and an open platform framework, namely BlueTool.
UR - http://www.scopus.com/inward/record.url?scp=84869481726&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84869481726&partnerID=8YFLogxK
U2 - 10.1109/IGCC.2012.6322262
DO - 10.1109/IGCC.2012.6322262
M3 - Conference contribution
AN - SCOPUS:84869481726
SN - 9781467321556
T3 - 2012 International Green Computing Conference, IGCC 2012
BT - 2012 International Green Computing Conference, IGCC 2012
T2 - 2012 International Green Computing Conference, IGCC 2012
Y2 - 4 June 2012 through 8 June 2012
ER -