Dynamic allocation of power delivery paths in consolidated data centers based on adaptive UPS switching

Al-Hazemi, Fawaz; Peng, Yuyang; Youn, Chan‐Hyun; Lörincz, Josip; Li, Chao; Guo, Song; Boutaba, Raouf

doi:10.1016/j.comnet.2018.08.004

Cited by 26 publications

(13 citation statements)

References 17 publications

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“…However, it is not possible to judge the overall performance of these devices based on the power consumed by individual devices, as shown in Figure 6; because the power losses of these devices depend on the supplied power, as given in ( 8) and (9). The rated power capacity of UPS is 100 times higher than the PDU so it consumes more energy than a PDU, as also claimed in [18], [40]. Thus, the percentage of losses with respect to the rated power of the rack has been analyzed for the PSU, PDU, and UPS at rack-level, as shown in Figure 7.…”

Section: ) Power Conditioning Equipment Lossesmentioning

confidence: 88%

A Novel Reliability Index to Assess the Computational Resource Adequacy in Data Centers

2021

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The energy demand of data centers is increasing globally with the increasing demand for computational resources to ensure the quality of services. It is important to quantify the required resources to comply with the computational workloads at the rack-level. In this paper, a novel reliability index called loss of workload probability is presented to quantify the rack-level computational resource adequacy. The index defines the right-sizing of the rack-level computational resources that comply with the computational workloads, and the desired reliability level of the data center investor. The outage probability of the power supply units and the workload duration curve of servers are analyzed to define the loss of workload probability. The workload duration curve of the rack, hence, the power consumption of the servers is modeled as a function of server workloads. The server workloads are taken from a publicly available data set published by Google. The power consumption models of the major components of the internal power supply system are also presented which shows the power loss of the power distribution unit is the highest compared to the other components in the internal power supply system. The proposed reliability index and the power loss analysis could be used for rack-level computational resources expansion planning and ensures energy-efficient operation of the data center.INDEX TERMS Adequacy, data center, energy losses, internal power supply system, reliability.

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Section: ) Power Conditioning Equipment Lossesmentioning

confidence: 88%

A Novel Reliability Index to Assess the Computational Resource Adequacy in Data Centers

2021

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“…Additionally, the low efficiency of UPSs used in DC during low UPS power demand periods, further contributes to the degradation of PUE. Some initial analyses of concept based on the simultaneous UPS and server/VMs consolidation in accordance with the DC workload variations show promising results in terms of improving DC energy-efficiency [70,71]. Still, major challenges related to achieving energy consumption reduction obtained through combining application performance, workload scheduling and power distribution in DC remains.…”

Section: Research Challenges For Improvements Of Data Centres Enermentioning

confidence: 99%

Greener, Energy-Efficient and Sustainable Networks: State-Of-The-Art and New Trends

Lörincz

Capone

2019

Sensors

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Although information and communications technologies (ICTs) have the potential of enabling powerful social, economic and environmental benefits, ICT systems give a non-negligible contribution to world electricity consumption and carbon dioxide (CO2) footprint. This contribution will sustain since the increased demand for user′s connectivity and an explosion of traffic volumes necessitate continuous expansion of current ICTs services and deployment of new infrastructures and technologies which must ensure the expected user experiences and performance. In this paper, analyses of costs for the global annual energy consumption of telecommunication networks, estimation of ICT sector CO2 footprint contribution and predictions of energy consumption of all connected user-related devices and equipment in the period 2011–2030 are presented. Since presented estimations of network energy consumption trends for main communication sectors by 2030 shows that highest contribution to global energy consumption will come from wireless access networks and data centres (DCs), the rest of the paper analyses technologies and concepts which can contribute to the energy-efficiency improvements of these two sectors. More specifically, different paradigms for wireless access networks such as millimetre-wave communications, Long-Term Evolution in unlicensed spectrum, ultra-dense heterogeneous networks, device-to-device communications and massive multiple-input multiple-output communications have been analysed as possible technologies for improvement of wireless networks energy efficiency. Additionally, approaches related to the DC resource management, DCs power management, green DC monitoring and thermal management in DCs have been discussed as promising approaches to improvement of DC power usage efficiency. For each of analysed technologies, future research challenges and open issues have been summarised and discussed. Lastly, an overview of the accepted papers in the Special Issue dedicated to the green, energy-efficient and sustainable networks is presented.

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“…由施巍松等总结的 UPS 电源效率与负载的关系可推出, 单纯合并服务器会加剧 UPS 电源的功率损耗, 从而带来额外的能耗浪费. AL-Hazemi 等[86] 对目前最新的服务器合并方案进行研究发现, 该方案会给数据中心增加额外的 13% 的能耗, 而这部分能耗是由 UPS 电源转换功耗损失造成的. 为了解决这个问题, 他们提出了一种合并非高峰时期使用的 UPS 电源的策略[86] .…”

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“…AL-Hazemi 等[86] 对目前最新的服务器合并方案进行研究发现, 该方案会给数据中心增加额外的 13% 的能耗, 而这部分能耗是由 UPS 电源转换功耗损失造成的. 为了解决这个问题, 他们提出了一种合并非高峰时期使用的 UPS 电源的策略[86] . 该策略通过将负载水平低的 UPS 电源的负载全部转移到相邻的 UPS 电源的方式来减少需要开启的 UPS 电源数目, 从而间接提高了处于开启状态的 UPS 电源的负载水平 (等同于提高 UPS 电源的转换效率).…”

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Research progress and development trend of cross-layer energy efficiency optimization in data centers

Wang¹,

Zhou²,

Liu³

et al. 2020

Sci. Sin.-Inf.

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Cross-layer optimization in ultra wideband networks Science in China Series F-Information Sciences 50, 760 (2007); Cross-layer transmission and energy scheduling under full-duplex energy harvesting wireless \\OFDM joint transmission SCIENCE CHINA Information Sciences 59, 102310 (2016); Cross-layer packet scheduling for downlink multiuser OFDM systems Science in China Series F-Information Sciences 52, 2369 (2009); Model-based cross-layer monitoring and adaptation of multilayer systems SCIENCE CHINA Information Sciences 56, 082101 (2013); Cross-layer design for cooperative MIMO systems with relay selection and imperfect CSI

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Dynamic allocation of power delivery paths in consolidated data centers based on adaptive UPS switching

Cited by 26 publications

References 17 publications

A Novel Reliability Index to Assess the Computational Resource Adequacy in Data Centers

A Novel Reliability Index to Assess the Computational Resource Adequacy in Data Centers

Greener, Energy-Efficient and Sustainable Networks: State-Of-The-Art and New Trends

Research progress and development trend of cross-layer energy efficiency optimization in data centers

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