Modeling Data Center Building Blocks for Energy-Efficiency and Thermal Simulations
In this paper we present a concept and specification of Data Center Efficiency Building Blocks (DEBBs), which represent hardware components of a data center complemented by descriptions of their energy efficiency. Proposed building blocks contain hardware
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Christmann Informationstechnik + Medien [email protected] 2 IRIT, University of Toulouse [email protected] Poznan Supercomputing and Networking Center {jarus,ariel,piatek}@man.poznan.pl High Performance Computing Center Stuttgart [email protected]
Abstract. In this paper we present a concept and specification of Data Center Efficiency Building Blocks (DEBBs), which represent hardware components of a data center complemented by descriptions of their energy efficiency. Proposed building blocks contain hardware and thermodynamic models that can be applied to simulate a data center and to evaluate its energy efficiency. DEBBs are available in an open repository being built by the CoolEmAll project. In the paper we illustrate the concept by an example of DEBB defined for the RECS multi-server system including models of its power usage and thermodynamic properties. We also show how these models are affected by specific architecture of modeled hardware and differences between various classes of applications. Proposed models are verified by a comparison to measurements on a real infrastructure. Finally, we demonstrate how DEBBs are used in data center simulations. Keywords: data centers, energy efficiency, simulations.
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Introduction
Recent fast development of cloud computing and computational science caused growing demand for large capacities that should be delivered in a cost-effective way by distributed data centers. However, these processes led to huge amounts of consumed energy. In many current data centers the actual IT equipment uses only half of the total energy while most of the remaining part is required for cooling and air movement resulting in poor Power Usage Effectiveness (PUE) [1] values. For these reasons many efforts were undertaken to measure and study energy efficiency of data centers, for instance [2][3][4] to name a few. In order to optimize a design or configuration of data center we need a thorough study using appropriate metrics and tools evaluating how much computation or data S. Klingert et al. (Eds.): E2 DC 2013, LNCS 8343, pp. 66–82, 2014. c Springer-Verlag Berlin Heidelberg 2014
Modeling Data Center Building Blocks
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processing can be done within given power and energy budget and how it affects temperatures, heat transfers, and airflows within data center. Therefore, there is a need for simulation tools and models that approach the problem from a perspective of end users and take into account all the factors that are critical to understanding and improving the energy efficiency of data centers, in particular, hardware characteristics, applications, management policies, and cooling. To cope with this problem we introduce Data Center Efficiency Building Blocks (DEBBs), which (i) provide means to to prepare descriptions and models to be easily inserted into simulations (ii) allows data center designers and analysts to take holistic view of data centers from impact of single applications up to the heat transfer and cooling process in the whole data center. Proposed building blocks contain har
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