Evaluating Impact of Live Migration on Data Center Energy Saving

被引:7
|
作者
Akiyama, Soramichi [1 ]
Hirofuchi, Takahiro [2 ]
Honiden, Shinichi [1 ,3 ]
机构
[1] Univ Tokyo, Grad Sch Informat Sci & Technol, Tokyo, Japan
[2] Natl Inst Adv Ind Sci & Technol, Tsukuba, Ibaraki, Japan
[3] Natl Inst Informat, Chiyoda Ku, Tokyo, Japan
关键词
data center; live migration; energy efficiency;
D O I
10.1109/CloudCom.2014.42
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Energy efficiency of cloud data centers is of great concern today and has been tackled by many researchers. Dynamic VM placement is a well-known strategy to improve energy efficiency of a data center. Virtual machines (VMs) under light load are consolidated into a small number of physical machines (PMs) to turn idle PMs into low-power states. Although live migration is essential for dynamic VM placement, former studies have not yet revealed how energy overhead of live migration has impact on energy efficiency of dynamic VM placement. To tackle this problem, we conducted integrated simulation of energy overhead of live migration and dynamic VM placement using SimGrid. We used three dynamic VM placement policies and two live migration mechanisms (existing pre-copy and an accelerated mechanism invented by us) to thoroughly evaluate the energy overhead. The results showed that in the worst case energy overhead of live migration occupies 5.8% of total energy consumption of a data center.
引用
收藏
页码:759 / 762
页数:4
相关论文
共 50 条
  • [41] Stochastic Model for Data Center Energy Saving Augmented by Optical Wireless Links
    Arnon, Shlomi
    2016 IEEE INTERNATIONAL CONFERENCE ON WIRELESS FOR SPACE AND EXTREME ENVIRONMENTS (WISEE), 2016, : 64 - 67
  • [42] An Energy Saving Mechanism Based on Vacation Queuing Theory in Data Center Networks
    Baccour, Emna
    Gouissem, Ala
    Foufou, Sebti
    Hamila, Ridha
    Tari, Zahir
    Zomaya, Albert Y.
    MOBILE NETWORKS AND MANAGEMENT (MONAMI 2017), 2018, 235 : 188 - 202
  • [43] Potential of energy saving in a data center - application of an agent-based modelling
    Wang, Qinxing
    Huang, Nianzhi
    Lin, Haiyang
    Li, Hailong
    Wennersten, Ronald
    Sun, Qie
    8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 2017, 105
  • [44] A Reliable Analyzer for Energy-Saving Approaches in Large Data Center Networks
    Tran Manh Nam
    Truong Thu Huong
    Nguyen Huu Thanh
    Pham Van Cong
    Ngo Quynh Thu
    Pham Ngoc Nam
    Hoang Quoc Viet
    Luong Dinh Tho
    2014 IEEE FIFTH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND ELECTRONICS (ICCE), 2014, : 200 - 205
  • [45] Sharing with Live Migration Energy Optimization Scheduler for Cloud Computing Data Centers
    Alshathri, Samah
    Ghita, Bogdan
    Clarke, Nathan
    FUTURE INTERNET, 2018, 10 (09)
  • [46] A Temperature-Risk and Energy-Saving Evaluation Model for Supporting Energy-Saving Measures for Data Center Server Rooms
    Sasakura, Kosuke
    Aoki, Takeshi
    Komatsu, Masayoshi
    Watanabe, Takeshi
    ENERGIES, 2020, 13 (19)
  • [47] Study on Data Center Energy Efficiency Evaluating Based on Web Service
    Wu Guohui
    Lu Huidong
    He Le
    Huang Long
    2015 IEEE ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2015, : 785 - 788
  • [48] Data Center Performance Model for Evaluating Load Dependent Energy Efficiency
    Schlitt, Daniel
    Nebel, Wolfgang
    PROCEEDINGS OF ICT FOR SUSTAINABILITY 2016, 2016, 46 : 42 - 51
  • [49] Research and Application of a Framework for Evaluating Energy Efficiency in Internet Data Center
    Sun, Zhichao
    Meng, Weiye
    Wei, Sen
    Wang, Tao
    2024 2ND INTERNATIONAL CONFERENCE ON MOBILE INTERNET, CLOUD COMPUTING AND INFORMATION SECURITY, MICCIS 2024, 2024, : 242 - 246
  • [50] Evaluating the Economics of Energy-Saving Projects
    White, Douglas C.
    CHEMICAL ENGINEERING PROGRESS, 2011, 107 (12) : 34 - 38