Structure-aware online virtual machine consolidation for datacenter energy improvement in cloud computing

被引:69
|
作者
Esfandiarpoor, Sina [1 ]
Pahlavan, Ali [2 ]
Goudarzi, Maziar [2 ]
机构
[1] Sharif Univ Technol, Infonnat Technol Dept, Kish Isl, Iran
[2] Shanf Univ Technol, Dept Comp Engn, Tehran, Iran
关键词
Cloud computing; Consolidation; Datacenter; Energy efficiency; Service-level agreements; Virtual machine; MANAGEMENT; POWER;
D O I
10.1016/j.compeleceng.2014.09.005
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The necessity and significance of improving the energy efficiency of cloud implementations have increased due to the rapid growth and proliferation of cloud computing services around the world. Virtual machines (VMs) comprise the backend of most, if not all, cloud computing services. Several VMs are often consolidated on a physical machine to efficiently utilize its resources. In this paper, we take into account the cooling and network structure of the datacenter host lug the physical machines when consolidating the VMs so that fewer racks and routers are employed, without compromising the service-level agreements; consequently, idle routing and cooling equipment can be turned off in order to reduce the energy consumption. Our experimental results on four benchmarks show that the proposed techniques improve energy consumption of servers, network equipment, and cooling systems by 2.5%, 18.8%, and 28.2% respectively compared to state of the art, resulting in a total of 14.7% energy improvement on average in the entire datacenter. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:74 / 89
页数:16
相关论文
共 50 条
  • [41] A reliable energy-aware approach for dynamic virtual machine consolidation in cloud data centers
    Sayadnavard, Monireh H.
    Haghighat, Abolfazl Toroghi
    Rahmani, Amir Masoud
    JOURNAL OF SUPERCOMPUTING, 2019, 75 (04): : 2126 - 2147
  • [42] A reliable energy-aware approach for dynamic virtual machine consolidation in cloud data centers
    Monireh H. Sayadnavard
    Abolfazl Toroghi Haghighat
    Amir Masoud Rahmani
    The Journal of Supercomputing, 2019, 75 : 2126 - 2147
  • [43] Energy-aware Virtual Machine Migration for Cloud Computing - A Firefly Optimization Approach
    Kansal, Nidhi Jain
    Chana, Inderveer
    JOURNAL OF GRID COMPUTING, 2016, 14 (02) : 327 - 345
  • [44] Energy-aware Virtual Machine Migration for Cloud Computing - A Firefly Optimization Approach
    Nidhi Jain Kansal
    Inderveer Chana
    Journal of Grid Computing, 2016, 14 : 327 - 345
  • [45] Energy-aware metaheuristic for virtual machine placement towards a green cloud computing
    Tlili, Takwa
    Krichen, Saoussen
    PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2023 COMPANION, 2023, : 779 - 782
  • [46] Energy Efficient Virtual Machine Consolidation in Cloud Datacenters
    Chang, Yaohui
    Gu, Chunhua
    Luo, Fei
    2017 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2017, : 401 - 406
  • [47] Incentive-aware virtual machine scheduling in cloud computing
    Heyang Xu
    Yang Liu
    Wei Wei
    Wenqiang Zhang
    The Journal of Supercomputing, 2018, 74 : 3016 - 3038
  • [48] Failure-aware Virtual Machine Configuration for Cloud Computing
    Luo, Yaqin
    Qi, Li
    2012 IEEE ASIA-PACIFIC SERVICES COMPUTING CONFERENCE (APSCC), 2012, : 125 - 132
  • [49] Cost-Aware Workload Consolidation in Green Cloud Datacenter
    Tsai, Linjiun
    Liao, Wanjiun
    2012 IEEE 1ST INTERNATIONAL CONFERENCE ON CLOUD NETWORKING (CLOUDNET), 2012,
  • [50] Incentive-aware virtual machine scheduling in cloud computing
    Xu, Heyang
    Liu, Yang
    Wei, Wei
    Zhang, Wenqiang
    JOURNAL OF SUPERCOMPUTING, 2018, 74 (07): : 3016 - 3038