Abstract-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.

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ROSE ROBIN GILBERT, IO Data Centers TRIDIB MUKHERJEE, XeroxEnergy-efficient data center design and management has been a challenge of increasing importance in the past decade due to its potential to save billions of dollars in energy costs. However, the state of the art in design and evaluation of data centers require designers to be expertly familiar with a prohibitively large number of domain-specific design tools that necessitate user intervention in each step of the design process. This is due to the lack of a holistic data center design tool. To fill this gap, this article presents an iterative green data center design framework, the Green Data Center Simulator (GDCSim), for the design and development of energy-efficient data centers.