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

Criteria to select energy efficiency metrics to measure performance of data centre
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选择能源效率指标来衡量数据中心性能的标准

DOI:
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发表时间:
2012
期刊:
影响因子:
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通讯作者:
Asadullah Shah
Asadullah Shah
中科院分区:
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文献类型:
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作者:
Mueen Uddin;Azizah Abdul Rahman;Asadullah Shah

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数据中心行业的发展和扩张受到不断增长的业务领域、消费者的最终用户应用程序和性能改进限制的推动。由于这些层级数据中心的大小和规模的持续增加,存在对能量消耗和绿色家用气体排放的持续需求,这由于对全球健康和环境可持续性有害的巨额电费和全球变暖效应而开始限制进一步的性能进展。本文重点研究讨论了高功耗/能耗的起因和问题,并探讨了数据中心节能成为重要问题的原因。然后,它突出了实施绿色指标来衡量数据中心在能源消耗和二氧化碳排放方面的效率的重要性。数据中心是用来衡量数据中心业绩的工具。我们提出了一种方法来选择合适的指标,适合衡量数据中心的效率和性能方面的能源效率,成本节约,绿色倡议和二氧化碳排放量。拟议的方法有助于数据中心管理人员选择适当的指标,然后设定基准。
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 green house 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.