Metrics and an Infrastructure Model to Evaluate Data Center Efficiency

Belady, Christian; Malone, Christopher G.

doi:10.1115/ipack2007-33338

Cited by 29 publications

(29 citation statements)

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“…A good example is GreenGrid, which is "an association of IT professionals seeking to dramatically raise the energy efficiency of datacenters through a series of short-term and longterm proposals" [104]. They propose to use two main metrics for evaluating energy efficiency in datacenters: Power Usage Effectiveness (PUE), and Datacenter Infrastructure Efficiency (DCiE) [11,16]. PUE is defined as follows:…”

Section: Energy Metricsmentioning

confidence: 99%

Energy-efficient Algorithms for Ultrascale Systems

Carretero

Distefano

Petcu

et al. 2015

JSFI

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The chances to reach Exascale or Ultrascale Computing are strongly connected with the problem of the energy consumption for processing applications. For physical and economical reasons, the energy consumption has to be reduced significantly to make Ultrascale Computing possible. The research efforts towards energy-saving mechanisms of the hardware have already made energy-aware hardware systems available. However, to achieve a strong energy reduction, hardware mechanisms must be complemented with new energy-efficient software that can exploit them so that the foreseen energy savings actually result. In the software area, there also exist a multitude of research approaches towards energy saving, often concentrating either on the system software level or the application organization level, reflecting the expertise of the corresponding research group. The challenge of reducing the energy consumption dramatically to make Ultrascale Computing possible is so ambitious that a concerted action combining research efforts through all the software levels seems reasonable. In this article, we discuss the current research efforts and results related to energy efficiency in the diverse areas of software. We conclude with open problems and questions concerning energy-related techniques with an emphasis on the application or algorithmic side.

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Section: Energy Metricsmentioning

confidence: 99%

Energy-efficient Algorithms for Ultrascale Systems

Carretero

Distefano

Petcu

et al. 2015

JSFI

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“…Metrics facilitate energy optimization by defining energy-efficient techniques to implement green, energy-efficient data centers. They must correlate strongly with the concerns of business enterprises and end users, while also being understandable, general, and practical to adopt and calculate [13]. A metric must have different proficiencies such as assessment tools, analysis and benchmarking features, design, plan, and implementation characteristics to help define and improve its performance and measurement capability [13].…”

Section: Energy Efficiency Metricsmentioning

confidence: 99%

“…The major problem in the data center industry is the lack of credible, appropriate, and industry-acceptable standard method to categorize installed hardware and software resources and workloads into measureable groups so that available energy efficiency metrics can be applied to calculate power use [12]. The other major obstacle to improving power efficiency is the limitation of metrics (applicable measurement methods and tools) [13,14]. Research is ongoing to investigate how IT equipment power consumption varies with computation loads, as well as develop quantitative metrics, refine metrics, and set measurement protocols for benchmarking servers [15].…”

Section: Introductionmentioning

confidence: 99%

Power Usage Effectiveness Metrics to Measure Efficiency and Performance of Data Centers

Uddin

Alsaqour

Shah

et al. 2014

Appl. Math. Inf. Sci.

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Abstract:Intensifying computation demand from enterprises has driven the growth of large, multifaceted data centers to manage current Internet, financial, commercial, and business applications. A data center comprises thousands of servers and other equipment that require substantial amounts of power to operate. This condition results in numerous challenges for the data center industry, such as massive energy consumption, underutilization of installed equipment, emission of greenhouse gases, and effect on global warming. This paper highlights the significance of identifying metrics to determine the performance and efficiency of a data center, which can help such a facility achieve operational cost savings through proper implementation of performance-measuring metrics. This paper discusses the implementation of Power Usage Effectiveness metrics in a tier-level data center in Pakistan. The results show that the overall performance value of the facility is 3.3, which indicates poor and inefficient operations.

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“…The most important challenge in the data centers industry is the limitation of effective standard energy efficiency metrics, which supports improving energy efficiency [21,22].…”

Section: Urgent Need For Energy Efficiency Integrated Framework mentioning

confidence: 99%

Green Technology, Cloud Computing and Data Centers: the Need for Integrated Energy Efficiency Framework and Effective Metric

Nada¹,

Elgelany²

2014

IJACSA

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Abstract-Energy efficiency (EE), energy consumption cost and environmental impact are vibrant challenges to cloud computing and data centers. Reducing energy consumption and emissions of carbon dioxide (CO 2 ) in data centers represent open areas and driving force for future research work on green data centers. Our Literature review reveals that there are currently several energy efficiency frameworks for data centers which combine a green IT architecture with specific activities and procedures that led to decrease the impact on environment and less CO 2 emissions. The current available frameworks have some pros and cons that is the reason why there is an urgent need for an integrated criterion for selecting and adopting energy efficiency framework for data centers. The required energy efficiency framework criteria should also consider the social network applications as a vital related factor in elevating energy consumption, as well as high potential for better energy efficiency in data centers. Additionally, in this paper, we highlighted the importance of the identification of efficient and effective energy efficiency metric that can be used for the measurement and determination of the value of data centers efficiency and their performance combined with sound and empirically validated integrated EE framework.

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Metrics and an Infrastructure Model to Evaluate Data Center Efficiency

Cited by 29 publications

References 0 publications

Energy-efficient Algorithms for Ultrascale Systems

Energy-efficient Algorithms for Ultrascale Systems

Power Usage Effectiveness Metrics to Measure Efficiency and Performance of Data Centers

Green Technology, Cloud Computing and Data Centers: the Need for Integrated Energy Efficiency Framework and Effective Metric

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