Analyzing the Data Center Efficiency by Using PUE to Make Data Centers More Energy Efficient by Reducing the Electrical Consumption and Exploring New Strategies
TLDR
Suggested procedure can be utilized for the power consumption analysis of a data center and obtained results can help taking measures to improve the energy utilization of the data center.About:
This article is published in Procedia Computer Science.The article was published on 2015-01-01 and is currently open access. It has received 18 citations till now. The article focuses on the topics: Power usage effectiveness & Efficient energy use.read more
Citations
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Trends in Data Centre Energy Consumption under the European Code of Conduct for Data Centre Energy Efficiency
TL;DR: The analysis shows that the average Power Usage Effectiveness (PUE) of the facilities participating in the European Code of Conduct for Data Centre Energy Efficiency programme is declining year after year, confirming that voluntary approaches could be effective in addressing climate and energy issue.
Journal ArticleDOI
Energy aware resource allocation of cloud data center: review and open issues
Nasrin Akhter,Mohamed Othman +1 more
TL;DR: This paper presents a comprehensive review on the different energy aware resource allocation and selection algorithms for virtual machines in the cloud and comes up with further research issues and challenges for future cloud environments.
Journal ArticleDOI
Immersion cooling as the next technology for data center cooling: A review
Ilham Wahyu Kuncoro,Nugroho Agung Pambudi,Muhammad Kunta Biddinika,Indah Widiastuti,Miftah Hijriawan,Kukuh Mukti Wibowo +5 more
Journal ArticleDOI
Energy-efficient virtual content distribution network provisioning in cloud-based data centers
TL;DR: This research proposes an approximate algorithm termed max flow forecast (MFF) to determine the number of software components in the virtual content distribution network (vCDN), and shows that MFF can produce a larger energy reduction than the existing algorithms for an identical SLA.
Journal ArticleDOI
$$\varvec{Q}ET$$ Q E T : a QoS-based energy-aware task scheduling method in cloud environment
Shengjun Xue,Shengjun Xue,Yiyun Zhang,Yiyun Zhang,Xiaolong Xu,Xiaolong Xu,Guowen Xing,Guowen Xing,Haolong Xiang,Sai Ji,Sai Ji +10 more
TL;DR: A QoS-based energy-aware task scheduling method, named QET, in cloud environment is proposed to address the above challenge to achieve energy savings based on QoS during task scheduling.
References
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Best Practices for Data Centers: Lessons Learned from Benchmarking 22 Data Centers
TL;DR: In this article, the authors benchmarked 22 data center buildings and found that data centers can be over 40 times more energy intensive than conventional office buildings, and proposed a set of best-practice technologies for energy efficiency.
Patent
Electrical efficiency measurement for data centers
TL;DR: A method of managing power efficiency of a data center includes conducting initial power measurements at a plurality of locations in the data center, establishing an efficiency model for the data centre based on the initial power measurement, establishing benchmark performance levels using the efficiency model, conducting ongoing power measurements, and comparing results of the ongoing power measurement to benchmark performance level as mentioned in this paper.
Journal Article
High-performance data centers: A research roadmap
TL;DR: In this paper, a report was developed for the California Energy Commission to document industry input and LBNL research into research topics appropriate for public interest support, which helped to prioritize the technical areas for future public interest research.
ReportDOI
High-performance data centers: A research roadmap
TL;DR: In this paper, a report was developed for the California Energy Commission to document industry input and LBNL research into research topics appropriate for public interest support, which helped to prioritize the technical areas for future public interest research.
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A critical analysis of Power Usage Effectiveness and its use in communicating data center energy consumption
Jumie Yuventi,Roshan Mehdizadeh +1 more