Energy-efficient approach to lower the carbon emissions of data centers

被引:0
|
作者
Rajesh Bose
Sandip Roy
Haraprasad Mondal
Dipan Roy Chowdhury
Srabanti Chakraborty
机构
[1] Simplex Infrastructure Ltd.,
[2] Brainware University,undefined
[3] Dibrugarh University,undefined
[4] Elitte Institute of Engineering and Management,undefined
来源
Computing | 2021年 / 103卷
关键词
Data-center; Distributed computing; Energy consumption; Green computing; Carbon emission; 68U35;
D O I
暂无
中图分类号
学科分类号
摘要
Data Centers require enormous amounts of electrical energy to operate. The resultant emissions in the form of heat, directly, and carbon, indirectly, are cause for concern among Data Center managers and owners. In the past, and in many contemporary instances as well, Data Center managers have struggled to rein in large energy bills as operational activities increased. This paper attempts to address the problems without affecting operational efficiency of Data Centers and while maintaining high standards of system uptime. The latter is made possible by observing a set standard of Power Usage Efficiency and through rationalizing power consumption of equipment and Data Center infrastructure itself. Our research has shown that it is possible to control power consumption, and thus bring about savings in terms of electric bills paid, even when the count of servers in Data Centers racks increase from four to seven. Experiments conducted in the course of our research indicate to maintain a high quality of Data Center operational state and keep power consumption under control even in the wake of rising user numbers. The resultant savings in electrical units consumed, shall ultimately contribute in a small yet meaningful way towards a smaller carbon footprint and a greener planet.
引用
收藏
页码:1703 / 1721
页数:18
相关论文
共 50 条
  • [1] Energy-efficient approach to lower the carbon emissions of data centers
    Bose, Rajesh
    Roy, Sandip
    Mondal, Haraprasad
    Chowdhury, Dipan Roy
    Chakraborty, Srabanti
    COMPUTING, 2021, 103 (08) : 1703 - 1721
  • [2] A Green energy-efficient scheduler for cloud data centers
    Mohammed Amoon
    Tarek E. El. Tobely
    Cluster Computing, 2019, 22 : 3247 - 3259
  • [3] A Green energy-efficient scheduler for cloud data centers
    Amoon, Mohammed
    El Tobely, Tarek E.
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (02): : S3247 - S3259
  • [4] Online Energy-efficient Resource Allocation in Cloud Computing Data Centers
    Ben Abdallah, Habib
    Sanni, Afeez Adewale
    Thummar, Krunal
    Halabi, Talal
    2021 24TH CONFERENCE ON INNOVATION IN CLOUDS, INTERNET AND NETWORKS AND WORKSHOPS (ICIN), 2021,
  • [5] A Survey of Energy-Efficient Techniques in Cloud Data Centers
    Kulseitova, Aruzhan
    Fong, Ang Tan
    2013 INTERNATIONAL CONFERENCE ON ICT FOR SMART SOCIETY (ICISS): THINK ECOSYSTEM ACT CONVERGENCE, 2013, : 267 - 271
  • [6] Environmentally opportunistic computing: A distributed waste heat reutilization approach to energy-efficient buildings and data centers
    Woodruff, J. Zachary
    Brenner, Paul
    Buccellato, Aimee P. C.
    Go, David B.
    ENERGY AND BUILDINGS, 2014, 69 : 41 - 50
  • [7] Accounting for Load Variation in Energy-Efficient Data Centers
    Kliazovich, Dzmitry
    Arzo, Sisay T.
    Granelli, Fabrizio
    Bouvry, Pascal
    Khan, Samee Ullah
    2013 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2013,
  • [8] Energy-Efficient Virtual Machine Replication for Data Centers
    Oncioiu, Raluca
    Pop, Florin
    2018 17TH INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED COMPUTING (ISPDC), 2018, : 126 - 132
  • [9] HEROS: Energy-Efficient Load Balancing for Heterogeneous Data Centers
    Guzek, Mateusz
    Kliazovich, Dzmitry
    Bouvry, Pascal
    2015 IEEE 8TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, 2015, : 742 - 749
  • [10] Thermal Control Strategies for Reliable and Energy-Efficient Data Centers
    Khalid, Rehan
    Wemhoff, Aaron P.
    JOURNAL OF ELECTRONIC PACKAGING, 2019, 141 (04)