Scholarly record
NEW METRICS FOR THE MEASUREMENT OF ENERGY EFFICIENCY IN DATA CENTERS
Abstract
The last decades witnessed an explosive increase of the demand for digital data in the economy. This led to a significant growth in the number and the sizes of data centers. The energy used by the data centers has increased dramatically. This situation determined the quest for metrics that measures energy efficiency in data centers. A classical metric for measuring energy efficiency in data centers is PUE (Power Usage Effectiveness). It was introduced in 2006 by C. Malone and Christian Belady. It is defined as the ratio between the PDC (total power used in the data center) and PIT (the power used for the IT equipment). PDC is the energy requirement for the major IT components of the data center plus the energy for supporting the infrastructure. The infrastructure is composed by: power delivery components, cooling system components and other miscellaneous component loads, such as data center lighting. PIT is the energy requirements associated with all the major IT components of the data center, such as server, storage, network, and other devices (KVM switches, monitors, and workstations/laptops) used to monitor or otherwise control the data center. PUE is a very popular metric for measuring energy efficiency in data centers. It has advantages and disadvantages. The present paper proposes an analysis of new metrics for measuring energy efficiency in data centers. This thing is necessary in order to attain sustainability goals. A globally accepted metric on the energy efficiency of computer servers in business applications is still missing, despite a great interest from stakeholders. Some complementary metrics and new metrics for improving PUE are synthesized. This analysis can help researchers to identify the main trends of energy efficiency assessment in data centers. The paper provides also a comprehensive and critical survey of energy efficiency metrics in data centers. It motivates the quest for new metrics for the assessment of data centers energy efficiency.
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References10
Avgerinou M., Bertoldi P., Castellazzi L., Trends in data centre energy consumption under the European code of conduct for data centre energy efficiency, Energies, 10, 1470, pp 1-18, 2017.
Covas M.T., Silva C.A., Dias L.C., Multi-Criteria Assessment of Data Centers Environmental Sustainability, Chapter 10 in R. Bisdorff et al. (eds.), Evaluation and Decision Models with Multiple Criteria, International Handbooks on Information Systems, Springer-Verlag Berlin Heidelberg 2015, pp 283-309, 2015.
Covas M. T., Carlos A. Silva, and Luis C. Dias R. Bisdorff et al. (eds.), Evaluation and Decision Models with Multiple Criteria, International Handbooks on Information Systems, Springer-Verlag Berlin Heidelberg 2015
Horner N., Azevedo I., Power usage effectiveness in data centers: Overloaded and Underachieving, The Electricity Journal vol. 29, pp 61–69, 2016.
Levy M., Raviv D., A novel framework for data center metrics using a multidimensional approach, 15th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Global Partnerships for Development and Engineering Education”, 2017, Boca Raton FL, United States, pp 1-9, 2017.
Polverini D., Tosoratti P., Towards a metric for the energy efficiency of computer servers, Computer Standards & Interfaces 55, pp 116–125, 2018.
Radulescu C.Z., Radulescu D.M., Sipica A., An analysis of the power usage effectiveness metric in data centers, 5th International Symposium on Electrical and Electronics Engineering (ISEEE), Galati, Romania, pp 1-6, 2017.
Rong H., Zhang H., Xiao S., Li C., Hu C., Optimizing energy consumption for data centers, Renewable and Sustainable Energy Reviews, vol. 58, pp 674-691, 2016.
Uddin M., Alsaqour R., Shah A., Saba T., Power usage effectiveness metrics to measure efficiency and performance of data center, Applied Mathematics & Information Sciences, vol. 8, no. 5, pp. 2207-2216, 2014.
Van De Voort T., Zavrel V., Galdiz I.T., Hensen J., Analysis of performance metrics for data center efficiency–should the Power Utilization Effectiveness, PUE still be used as the main indicator? (Part 1), The REHVA European HVAC Journal, vol. 54 (1), 2017.
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