Thermal-aware relocation of servers in green data centers

被引:0
|
作者
Muhammad Tayyab Chaudhry
T. C. Ling
S. A. Hussain
Xin-zhu Lu
机构
[1] University of Malaya,Department of Computer System & Technology, Faculty of Computer Science & Information Technology
[2] COMSATS Institute of Information Technology,Department of Computer Science
关键词
Servers; Green data center; Thermal-aware; Relocation; TP393; TK12;
D O I
暂无
中图分类号
学科分类号
摘要
Rise in inlet air temperature increases the corresponding outlet air temperature from the server. As an added effect of rise in inlet air temperature, some active servers may start exhaling intensely hot air to form a hotspot. Increase in hot air temperature and occasional hotspots are an added burden on the cooling mechanism and result in energy wastage in data centers. The increase in inlet air temperature may also result in failure of server hardware. Identifying and comparing the thermal sensitivity to inlet air temperature for various servers helps in the thermal-aware arrangement and location switching of servers to minimize the cooling energy wastage. The peak outlet temperature among the relocated servers can be lowered and even be homogenized to reduce the cooling load and chances of hotspots. Based upon mutual comparison of inlet temperature sensitivity of heterogeneous servers, this paper presents a proactive approach for thermal-aware relocation of data center servers. The experimental results show that each relocation operation has a cooling energy saving of as much as 2.1 kW·h and lowers the chances of hotspots by over 77%. Thus, the thermal-aware relocation of servers helps in the establishment of green data centers.
引用
收藏
页码:119 / 134
页数:15
相关论文
共 50 条
  • [1] Thermal-aware relocation of servers in green data centers
    Chaudhry, Muhammad Tayyab
    Ling, T. C.
    Hussain, S. A.
    Lu, Xin-zhu
    [J]. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2015, 16 (02) : 119 - 134
  • [2] Minimizing Thermal Stress for Data Center Servers through Thermal-Aware Relocation
    Chaudhry, Muhammad Tayyab
    Ling, T. C.
    Hussain, S. A.
    Manzoor, Atif
    [J]. SCIENTIFIC WORLD JOURNAL, 2014,
  • [3] Thermal-Aware Scheduling in Green Data
    Chaudhry, Muhammad Tayyab
    Ling, Teck Chaw
    Manzoor, Atif
    Hussain, Syed Asad
    Kim, Jongwon
    [J]. ACM COMPUTING SURVEYS, 2015, 47 (03)
  • [4] Considering Thermal-aware Proactive & Reactive Scheduling and Cooling for Green Data-centers
    Chaudhry, Muhammad Tayyab
    Ling, T. C.
    Manzoor, Atif
    [J]. 2012 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE APPLICATIONS AND TECHNOLOGIES (ACSAT), 2012, : 87 - 91
  • [5] Thermal-aware optimization of workload distribution in data centers
    Wan, Shuai
    Almeida, Luis
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON GREEN COMPUTING AND COMMUNICATIONS, CONFERENCE ON INTERNET OF THINGS, AND CONFERENCE ON CYBER, PHYSICAL AND SOCIAL COMPUTING (GREENCOM 2012), 2012, : 494 - 497
  • [6] Thermal-aware Workload Distribution for Data Centers with Demand Variations
    Rostami, Somayye
    Down, Douglas G.
    Karakostas, George
    [J]. 2023 THE 14TH INTERNATIONAL GREEN AND SUSTAINABLE COMPUTING CONFERENCE, IGSC-2023, 2023, : 63 - 66
  • [7] Optimized Thermal-Aware Job Scheduling and Control of Data Centers
    Van Damme, Tobias
    De Persis, Claudio
    Tesi, Pietro
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 27 (02) : 760 - 771
  • [8] Optimized Thermal-Aware Job Scheduling and Control of Data Centers
    Van Damme, Tobias
    De Persis, Claudio
    Tesi, Pietro
    [J]. IFAC PAPERSONLINE, 2017, 50 (01): : 8244 - 8249
  • [9] Power and Thermal-Aware Workload Allocation in Heterogeneous Data Centers
    Al-Qawasmeh, Abdulla M.
    Pasricha, Sudeep
    Maciejewski, Anthony A.
    Siegel, Howard Jay
    [J]. IEEE TRANSACTIONS ON COMPUTERS, 2015, 64 (02) : 477 - 491
  • [10] Thermal-aware Flow Field Optimization for Energy Saving of Data Centers
    Wang, Qi
    Song, Mengxuan
    Fang, Qiu
    Wang, Jun
    [J]. 2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC), 2018, : 3744 - 3749