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
  • [21] Research on the Trusted Energy-Saving Transmission of Data Center Network
    Wang, Yubo
    Gong, Bei
    Gong, Mowei
    CHINA COMMUNICATIONS, 2016, 13 (12) : 139 - 149
  • [22] An Improved Energy Saving Strategy for SDN-based Data Center
    Peng HongYu
    Xiao HanLiang
    Hao TianLu
    Wang Kan
    Chen ZhenKai
    Xu LeXi
    2020 IEEE INTL SYMP ON PARALLEL & DISTRIBUTED PROCESSING WITH APPLICATIONS, INTL CONF ON BIG DATA & CLOUD COMPUTING, INTL SYMP SOCIAL COMPUTING & NETWORKING, INTL CONF ON SUSTAINABLE COMPUTING & COMMUNICATIONS (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2020), 2020, : 1371 - 1376
  • [23] Limits of Energy Saving for the Allocation of Data Center Resources to Networked Applications
    Leon, Xavier
    Navarro, Leandro
    2011 PROCEEDINGS IEEE INFOCOM, 2011, : 216 - 220
  • [24] Energy Saving Research on Temperature Control in Data Center Server Rooms
    Su, Yang
    Lu, Xiang
    2024 INTERNATIONAL CONFERENCE ON ELECTRONICS, ELECTRICAL AND CONTROL SYSTEM, EECS 2024, 2024, 2800
  • [25] Research on the Trusted Energy-Saving Transmission of Data Center Network
    Yubo Wang
    Bei Gong
    Mowei Gong
    中国通信, 2016, 13 (12) : 139 - 149
  • [26] Investigations of the Energy-saving Technology of a Cloud Computing Data Center
    Yue, Yu
    Jiang, Wen
    Zhang, Zhang
    Wang, Chen
    Shao, Zongyou
    Tang, Zhimin
    Shen, Weidong
    Li, Ke
    Liu, Guanghui
    MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 6228 - 6231
  • [27] High Efficiency Cloud Data Center Management System Using Live Migration
    Kodama, Hiroyoshi
    Endo, Hiroshi
    Suzuki, Shigeto
    Fukuda, Hiroyuki
    2017 IEEE 10TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2017, : 733 - 738
  • [28] Live Distributed Controller Migration for Software-Defined Data Center Networks
    Kim, Woojoong
    Hong, James Won-Ki
    Suh, Young-Joo
    NOMS 2018 - 2018 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, 2018,
  • [29] Machine Learning Based Live VM Migration for Efficient Cloud Data Center
    Zaw, Ei Phyu
    BIG DATA ANALYSIS AND DEEP LEARNING APPLICATIONS, 2019, 744 : 130 - 138
  • [30] Energy Efficient VM Live Migration and Allocation at Cloud Data Centers
    Dad, Djouhra
    Yagoubi, Djamel Eddine
    Belalem, Ghalem
    INTERNATIONAL JOURNAL OF CLOUD APPLICATIONS AND COMPUTING, 2014, 4 (04) : 55 - 63