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Criteria to select energy efficiency metrics to measure performance of data centre

Author

Listed:
  • Mueen Uddin
  • Azizah Abdul Rahman
  • Asadullah Shah

Abstract

The progress and expansion of data centre industry is driven by ever growing business domains, end user applications from consumers and performance improvement limitations. Due to continuous increase in the size and magnitude of these tier level data centres there is a continuous demand for energy consumption and emission of greenhouse gases that has started to limit further performance progression due to overwhelming electricity bills and global warming effects hazardous for global health and environmental sustainability. The research highlighted in this paper discusses about instigates and problems of high power/energy consumption, and explores the reasons why energy savings in data centre is an important issue. It then spotlights the importance of implementing green metrics for measuring efficiency of data centre in terms of energy consumption and CO2 emissions. Metrics are instruments used to measure the performance of data centre. We proposed a methodology to choose appropriate metrics suitable for measuring data centre efficiency and performance in terms of energy efficiency, cost savings, green initiatives and CO2 emissions. The proposed methodology helps data centre managers to select appropriate metrics and then set benchmarks.

Suggested Citation

  • Mueen Uddin & Azizah Abdul Rahman & Asadullah Shah, 2012. "Criteria to select energy efficiency metrics to measure performance of data centre," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 8(3/4/5/6), pages 224-237.
    • Handle: RePEc:ids:ijetpo:v:8:y:2012:i:3/4/5/6:p:224-237
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    Citations

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    Cited by:

    1. Oró, Eduard & Depoorter, Victor & Garcia, Albert & Salom, Jaume, 2015. "Energy efficiency and renewable energy integration in data centres. Strategies and modelling review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 429-445.
    2. Maroua Haddad & Jean-Marc Nicod & Marie-Cécile Péra & Christophe Varnier, 2021. "Stand-alone renewable power system scheduling for a green data center using integer linear programming," Journal of Scheduling, Springer, vol. 24(5), pages 523-541, October.
    3. Uddin, Mueen & Darabidarabkhani, Yasaman & Shah, Asadullah & Memon, Jamshed, 2015. "Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1553-1563.

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