Abstract
Designing a modern data center is not only an engineer’s challenge, but also always a try to predict the future. A data center must provide resources to operate the current state of applications, but it must also provide additional potential for upcoming tasks and requirements. Applications, their demands and the technology of servers change rapidly. However, data center infrastructure, which is costly to acquire, has a much slower cycle of renewal. Hence, these devices, mainly power supply and cooling, must be able to fulfil future requirements. But overestimating demands and provisioning these devices by unrealistic loads may lead to serious energy wasting. During the last years several power saving techniques have evolved that allow data centers to save energy and costs during operation. However, these techniques may be significantly enhanced by considering them during the data center design process and also when hardware device updates are planned. To combine the power saving techniques with an intelligent design method, the following questions need to be answered first: Which energetic interdependencies exist in the data center in terms of electrical and thermal energy? How can these be controlled, regulated and systematically exploited to save energy and still preserve future potential? Therefore, this chapter will provide some basic information about data center energy flow and interdependencies. Based on this, an improved data center design method is presented that does not deviate too much from existing approaches, but enables significant power savings by following only a few new design choices. It is analyzed in what data center usage concepts the proposed energetic improvements may be used and how they can be exploited during operation. A special focus is placed on the combination of server consolidation strategies with improvements of the cooling infrastructure. But these can only be fully exploited if the described design methods and improvements are implemented.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
APC: Understanding Delta Conversion Online “The Difference”. APC Application Note 39 (2004)
ASHRAE: 2011 thermal guidelines for data processing environments expanded data center classes and usage guidance. Whitepaper prepared by ASHRAE Technical Committee (TC) 9.9, Mission Critical Facilities, Technology Spaces, and Electronic Equipment (2011)
Avelar, V., Azevedo, D., French, A.: PUE: a comprehensive examination of the metric. The Green Grid whitepaper (2012)
Bell, M.: Use Best Practices to Design Data Center Facilities. Gartner Research, ID Number: G00127434 (2005)
BITKOM: Energieeffizienz im Rechenzentrum – Ein Leitfaden zur Planung, zur Modernisierung und zum Betrieb von Rechenzentren, Band 2. Schriftenreihe Umwelt und Energie (2010)
Capozzoli, A., Chinnici, M., Perino, M., Serale, G: Review on performance metrics for energy efficiency in data center: the role of thermal management. Energy efficient data centers. In: Third International Workshop, E2DC 2014, Cambridge, UK, June 10, 2014, Revised Selected Papers, 2015
CISCO: Data Center Technology Design Guide. CISCO August 2014 Series, CVD Navigator (2014)
Emerson Network Power: Data center users’ group special report - energy efficiency and capacity concerns increase. Emerson Network Power Whitepaper, Data Center Users’ Group, Fall 2012 Survey Results (2012)
Govindan, S., Wang, D., Chen, L., Sivasubramaniam, A., Urgaonkar, B: Modeling and analysis of availability of datacenter power infrastructure. Technical Report CSE-10-006, The Pennsylvania State University, Philadelphia, PA, USA (2010)
Govindan, S., Wang, D., Sivasubramaniam, A., Urgaonkar, B.: Leveraging Stored Energy for Handling Power Emergencies in Aggressively Provisioned Datacenters. SIGARCH Comput. Archit. News. 40(1), 75–86 (2012)
Harvey, T., Patterson, M., Bean, J.: Updated air-side free cooling maps: the impact of ashrae 2011 allowable ranges. The Green Grid (2012)
Hintemann, R.: Die Trends in Rechenzentren bis 2015. Ergebnisse einer neuen Studie im Auftrag des Umweltbundesamtes (2010)
Hoyer, M., Schroeder, K., Schlitt, D., Nebel, W.: Proactive dynamic resource management in virtualized data centers. In: Proceedings of the 2nd International Conference on Energy-Efficient Computing and Networking (2011)
Janacek, S., Nebel, W: Expansion of data center’s energetic degrees of freedom to employ green energy sources. In: Selected and Extended Contributions from the 28th International Conference on Informatics for Environmental Protection, Springer, Heidelberg, Germany (2015)
Moore, J., Chase, J., Ranganathan, P., Sharma, R.: Making scheduling “cool”: temperature-aware workload placement in data centers. In: Proceedings of the Annual Conference on USENIX Annual Technical Conference, ATEC ’05 (2005)
Pakbaznia, E., Pedram, M.: Minimizing data center cooling and server power costs. In: Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design (2009)
Patel, C.D., Bash, C.E., Belady, C., Stahl, L., Sullivan, D: Computational fluid dynamics modeling of high compute density data centers to assure system inlet air specifications. In: Proceedings of IPACK’01, The Pacific Rim/ASME International Electronic Packaging Technical Conference and Exhibition (2001)
Patel, C.D., Sharma, R., Bash, C.E., Beitelmal, A: Thermal considerations in cooling large scale high compute density data centers. In: The Eighth Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems, 2002. ITHERM 2002 (2002)
Patel, C.D., Bash, C.E., Sharma, R., Beitelmal, M., Friedrich, R.: Smart cooling of data centers. Adv. Electron. Packag. 2, 129–137 (2003)
Pelley, S., Meisner, D., Wenisch, T.F., Vangilder, .W.: Understanding and Abstracting Total Data Center Power. In: Proc. of the 2009 Workshop on Energy Efficient Design (WEED) (2009)
Pulvermueller, P.: Bestandsaufnahme effiziente Rechenzentren in Deutschland. eco Verband der deutschen Internetwirtschaft e.V. (2008)
Qouneh, A., Li, C., Li, T.: A quantitative analysis of cooling power in container-based data centers. In: 2011 IEEE International Symposium on Workload Characterization (IISWC) (2011)
Schlitt, D., Nebel, W.: Load dependent data center energy efficiency metric based on component models. In: 2012 International Conference on Energy Aware Computing, pp. 1–6 (2012)
Schlitt, D., Schomaker, G., Nebel, W.: Gain more from PUE: assessing data center infrastructure power adaptability. Energy efficient data centers, Lecture Notes in Computer Science, vol. 8945, pp. 152–166. (2015)
Schwalfenberg, V., Schmidt, M.: Infrastruktur im energieeffizienten Rechenzentrum. RITTAL White Paper, V10 (2008)
Sharma, R.K., Bash, C.E., Patel, C.D., Friedrich, R.J., Chase, J.S.: Balance of power: dynamic thermal management for Internet data centers. Internet Comput. IEEE. 9(1), 42–49 (2005)
Tang, Q., Mukherjee, T., Gupta, S.K.S., Cayton, P.: Sensor-based fast thermal evaluation model for energy efficient high-performance datacenters. In: Proceedings - 4th International Conference on Intelligent Sensing and Information Processing (2006)
Tang, Q., Gupta, S.K.S., Varsamopoulos, G.: Energy-Efficient Thermal-Aware Task Scheduling for Homogeneous High-Performance Computing Data Centers: A Cyber-Physical Approach. IEEE Trans. Parallel Distrib. Syst. 19(11), 1458–1472 (2008)
Ton, M., Fortenburry, B.: High Performance Buildings: Data Centers Uninterruptible Power Supplies (UPS). LBNL (2005)
Xu, H., Feng, C., Li, B.: Temperature Aware Workload Management in Geo-Distributed Data Centers. IEEE Trans. Parallel Distrib. Syst. 26(6), 1743–1753 (2015)
Zhou, R., Wang, Z., McReynolds, A., Bash, C.E., Christian, T.W., Shih, R.: Optimization and control of cooling microgrids for data centers. In: 2012 13th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm), pp. 383–343 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Janacek, S., Nebel, W. (2017). Energetic Data Center Design Considering Energy Efficiency Improvements During Operation. In: Marx Gómez, J., Mora, M., Raisinghani, M., Nebel, W., O'Connor, R. (eds) Engineering and Management of Data Centers. Service Science: Research and Innovations in the Service Economy. Springer, Cham. https://doi.org/10.1007/978-3-319-65082-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-65082-1_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-65081-4
Online ISBN: 978-3-319-65082-1
eBook Packages: Computer ScienceComputer Science (R0)