Advertisement

Distributed and Parallel Databases

, Volume 21, Issue 2–3, pp 227–238 | Cite as

Thermo-Fluids Provisioning of a High Performance High Density Data Center

  • Abdlmonem H. Beitelmal
  • Chandrakant D. Patel
Article

Abstract

Consolidation and dense aggregation of slim compute, storage and networking hardware has resulted in high power density data centers. The high power density resulting from current and future generations of servers necessitates detailed thermo-fluids analysis to provision the cooling resources in a given data center for reliable operation. The analysis must also predict the impact on the thermo-fluid distribution due to changes in hardware configuration and building infrastructure such as a sudden failure in data center cooling resources. The objective of the analysis is to assure availability of adequate cooling resources to match the heat load, which is typically non-uniformly distributed and characterized by high-localized power density. This study presents an analysis of an example modern data center with a view of the magnitude of temperature variation and impact of a failure. Initially, static provisioning for a given distribution of heat loads and cooling resources is achieved to produce a reference state. A perturbation in reference state is introduced to simulate a very plausible scenario—failure of a computer room air conditioning (CRAC) unit. The transient model shows the “redlining” of inlet temperature of systems in the area that is most influenced by the failed CRAC. In this example high-density data center, the time to reach unacceptable inlet temperature is less than 80 seconds based on an example temperature set point limit of 40°C (most of today's servers would require an inlet temperature below 35°C to operate). An effective approach to resolve this issue, if there is adequate capacity, is to migrate the compute workload to other available systems within the data center to reduce the inlet temperature to the servers to an acceptable level.

Keywords

data center smart cooling load migration cooling of data center provisioning of data centers heat cooling exergy transient analysis of data center CFD analysis of data center computer room cooling 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    C.E. Bash, C.D. Patel, and R.K. Sharma, “Efficient thermal management of data centers—Immediate and long-term research needs,” International Journal of Heat, Ventilating, Air-Conditioning and Refrigeration Research, April 2003.Google Scholar
  2. 2.
    Flomerics Incorporated, http://www.flovent.com, Flovent version 4.2.
  3. 3.
    S. Graupner, J.-M. Chevrot, N. Cook, R. Kavanappillil, and T. Nitzsche, “Adaptive control for server groups in enterprise data centers,” in Fourth IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid 2004), Chicago, IL, April 19–22, 2004.Google Scholar
  4. 4.
    C.D. Patel, C.E. Bash, C. Belady, L. Stahl, and D. Sullivan, “Computational fluid dynamics modeling of high compute density data centers to assure system inlet air specifications,” in Proceedings of IPACK'01—The PacificRim/ASME International Electronics Packaging Technical Conference and Exhibition, Kauai, Hawaii, July 2001.Google Scholar
  5. 5.
    C.D. Patel,C.E. Bash, R.K. Sharma, A. Beitelmal, and R.J. Friedrich, “Smart cooling of datacenters,” in Proceedings of IPACK'03—The PacificRim/ASME International Electronics Packaging Technical Conference and Exhibition, Kauai, HI, IPACK-35059, July 2003.Google Scholar
  6. 6.
    C.D. Patel, R.K. Sharma, C.E. Bash, and A. Beitelmal, “Thermal considerations in cooling large scale high compute density data centers,” in ITherm 2002—Eighth Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems, San Diego, CA, May 2002.Google Scholar
  7. 7.
    C.D. Patel, R.K. Sharma, C.E. Bash, and S. Graupner, “Energy Aware Grid: Global Workload Placement based on Energy Efficiency,” IMECE 2003-41443, 2003 International Mechanical Engineering Congress and Exposition, Washington, DC.Google Scholar
  8. 8.
    R. Sharma, C.E. Bash, and C.D. Patel, “Dimensionless parameters for evaluation of thermal design and performance of large scale data centers,” AIAA-2002-3091, American Institute of Aeronautics and Astronautics Conference, St. Louis, June 2002.Google Scholar
  9. 9.
    R. Sharma, C.E. Bash, C.D. Patel, R.S. Friedrich, and J. Chase, “Balance of power: Dynamic thermal management for internet data centers,” Hewlett-Packard Laboratories Technical Report: HPL-2003-5.Google Scholar

Copyright information

© Springer Science + Business Media, Inc 2006

Authors and Affiliations

  • Abdlmonem H. Beitelmal
    • 1
  • Chandrakant D. Patel
    • 1
  1. 1.Hewlett-Packard LaboratoriesPalo AltoUSA

Personalised recommendations