skip to main content
10.1145/3609703.3609720acmotherconferencesArticle/Chapter ViewAbstractPublication PagesprisConference Proceedingsconference-collections
research-article

Network equipment recommended placement based on entropy weight method and improved ideal point method distribution scheme design

Published: 16 August 2023 Publication History

Abstract

At present, data center security and energy consumption have been continuously concerned and discussed. There are some new technology to reduce energy consumption of data center, but few studies focus on make full use of the resources of the existing data center during routine maintenance to solve urgent problems such as low interest rate of distributed power supply resources, mismatch of power supply resources and space resources in cabinet, and unequal distribution of AC power supply systems. This paper focus on problems existing in data center, design a general distribution scheme to recommend network equipment optimal cabinet and location based on entropy weight method,which combined with entropy weight method to optimize important attributes such as cabinet power utilization, cabinet space utilization, cabinet resource imbalance, and three-phase imbalance, recommend network equipment optimal cabinet and location totally depending on objective data, avoid the problem maintenance staff lack of experience or inconsiderate to make wrong decision effectively, achieve full utilization of data center power system resources and operation optimization. The scheme is verified to be effective, has certain guiding significance for network equipment location selected management in data center.

References

[1]
Santos, Alexandre F., Pedro D. Gaspar, and Heraldo J. L. de Souza. 2020. "New Data Center Performance Index: Perfect Design Data Center—PDD" Climate 8, no. 10: 110. https://doi.org/10.3390/cli8100110
[2]
Index, G. C. "Cisco Global Cloud Index: Forecast and Methodology, 2016–2021 White Paper.".
[3]
Eric Masanet, Recalibrating global data center energy-use estimates. Science 367,984-986(2020).
[4]
Umer Arshad, Muhammad Aleem, Gautam Srivastava, Jerry Chun-Wei Lin, Utilizing power consumption and SLA violations using dynamic VM consolidation in cloud data centers, Renewable and Sustainable Energy Reviews, Volume 167,2022,112782, ISSN 1364-0321, https://doi.org/10.1016/j.rser.2022.112782.
[5]
WANG Zewu, SUN Lei, GUO Songhui, SUN Ruichen. Scheduling method of virtual cipher machine based on entropy weight evaluation in cryptography cloud(in Chinese),Journal of Computer Applications,2018,38(5):1353-1359,ISSN:1001-9081( 2018) 05-1353-07. 11772/j. issn. 1001-9081. 2017102465
[6]
Shanshan Cai, Yuqi Zou, Xiaobing Luo, Zhengkai Tu, Investigations of a novel proton exchange membrane fuel cell-driven combined cooling and power system in data center applications, Energy Conversion and Management, Volume 250,2021,114906, ISSN 0196-8904, https://doi.org/10.1016/j.enconman.2021.114906.
[7]
Y. Zhang et al., "A Novel Hyper-Converged Architecture for Power Data Centers," 2021 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS), Shenyang, China, 2021, pp. 391-394.
[8]
Communication information newspaper(in Chinese). Only 55% of the data center is installed. How can operators lead the example to full transformation of productivity? [EB/OL]. [2022-8-16]. http://www.txxxb.com/yc/yc/2022/0816/255610.shtml.
[9]
Kabongo, C., and D. Ilunga. "Practical Case Study of Electrical Safety Issues within an Imbalanced Three-Phase Power System." International Journal of Science and Research (IJSR) 9.4(2020):1307-1313.
[10]
Pengyu Chen, Effects of the entropy weight on TOPSIS, Expert Systems with Applications, Volume 168,2021,114186, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2020.114186.

Index Terms

  1. Network equipment recommended placement based on entropy weight method and improved ideal point method distribution scheme design
    Index terms have been assigned to the content through auto-classification.

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    PRIS '23: Proceedings of the 2023 5th International Conference on Pattern Recognition and Intelligent Systems
    July 2023
    123 pages
    ISBN:9781450399968
    DOI:10.1145/3609703
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 16 August 2023

    Permissions

    Request permissions for this article.

    Check for updates

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    PRIS 2023

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 15
      Total Downloads
    • Downloads (Last 12 months)4
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 20 Jan 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media