Energy-Efficient Storage in Virtual Machine Environments

被引:1
|
作者
Ye, Lei [1 ]
Lu, Gen [1 ]
Kumar, Sushanth [1 ]
Gniady, Chris [1 ]
Hartman, John H. [1 ]
机构
[1] Univ Arizona, Dept Comp Sci, Tucson, AZ 85721 USA
基金
美国国家科学基金会;
关键词
Design; Experimentation; Management; Measurement; Performance; Virtual Machine; Energy Management; Storage System; PREDICTIVE SYSTEM SHUTDOWN;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Current trends in increasing storage capacity and virtualization of resources combined with the need for energy efficiency put a challenging task in front of system designers. Previous studies have suggested many approaches to reduce hard disk energy dissipation in native OS environments; however, those mechanisms do not perform well in virtual machine environments because a virtual machine (VM) and the virtual machine monitor (VMM) that runs it have different semantic contexts. This paper explores the disk I/O activities between VMM and VMs using trace driven simulation to understand the I/O behavior of the VM system. Subsequently, this paper proposes three mechanisms to address the isolation between VMM and VMs, and increase the burstiness of hard disk accesses to increase energy efficiency of a hard disk. Compared to standard shutdown mechanisms, with eight VMs the proposed mechanisms reduce disk spin-ups, increase the disk sleep time, and reduce energy consumption by 14.8% with only 0.5% increase in execution time. We implemented the proposed mechanisms in Xen and validated our simulation results.
引用
收藏
页码:75 / 84
页数:10
相关论文
共 50 条
  • [31] Robust optimization for energy-efficient virtual machine consolidation in modern datacenters
    Robayet Nasim
    Enrica Zola
    Andreas J. Kassler
    Cluster Computing, 2018, 21 : 1681 - 1709
  • [32] Correlation-Aware Virtual Machine Allocation for Energy-Efficient Datacenters
    Kim, Jungsoo
    Ruggiero, Martino
    Atienza, David
    Lederberger, Marcel
    DESIGN, AUTOMATION & TEST IN EUROPE, 2013, : 1345 - 1350
  • [33] Energy-efficient virtual machine consolidation algorithm in cloud data centers
    Zhou Zhou
    Hu Zhi-gang
    Yu Jun-yang
    Abawajy, Jemal
    Chowdhury, Morshed
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2017, 24 (10) : 2331 - 2341
  • [34] Energy-efficient adaptive virtual machine migration mechanism for private Clouds
    Sohrabi, Sahar
    Yang, Yun
    Moser, Irene
    Aleti, Aldeida
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2017, 29 (18):
  • [35] An Energy-efficient Virtual Machine Placement Algorithm in Cloud Data Center
    Liu, Dan
    Sui, Xin
    Li, Li
    2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2016, : 719 - 723
  • [36] Energy-efficient virtual machine consolidation algorithm in cloud data centers
    Zhou Zhou
    Zhi-gang Hu
    Jun-yang Yu
    Jemal Abawajy
    Morshed Chowdhury
    Journal of Central South University, 2017, 24 : 2331 - 2341
  • [37] An Energy-Efficient Approach to Enhance Virtual Sensors Provisioning in Sensor Clouds Environments
    Lemos, Marcus Vinicius de S.
    Holanda Filho, Raimir
    Rabelo, Ricardo de Andrade L.
    de Carvalho, Carlos Giovanni N.
    Mendes, Douglas Lopes de S.
    Costa, Valney da Gama
    SENSORS, 2018, 18 (03):
  • [38] Towards high-available and energy-efficient virtual computing environments in the cloud
    Sampaio, Altino M.
    Barbosa, Jorge G.
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2014, 40 : 30 - 43
  • [39] An Energy-Efficient Task Scheduling Heuristic Algorithm Without Virtual Machine Migration in Real-Time Cloud Environments
    Zhang, Yi
    Chen, Liuhua
    Shen, Haiying
    Cheng, Xiaohui
    NETWORK AND SYSTEM SECURITY, (NSS 2016), 2016, 9955 : 80 - 97
  • [40] An Energy-Efficient Strategy for Virtual Machine Allocation over Cloud Data Centers
    Xiuchen Qie
    Shunfu Jin
    Wuyi Yue
    Journal of Network and Systems Management, 2019, 27 : 860 - 882