Inderscience Publishers

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

0
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.

Keywords: benchmarking, data centres, energy efficiency, greenhouse gases, green metrics, performance measurement, selection criteria, business domains, end user applications, consumers, performance improvement, performance progression, electricity bills, global warming, global health, environmental sustainability, climate change, power consumption, energy consumption, energy savings, efficiency measurement, cost savings, green initiatives, carbon dioxide, CO2, carbon emissions, benchmarks, energy technology, energy policy

Customer comments

No comments were found for Criteria to select energy efficiency metrics to measure performance of data centre. Be the first to comment!