Energy-Aware Dynamic Server Provisioning and Frequency Adjustment in Multi-Tier Data Centers

被引:2
作者
Wang Wei [1 ]
Luo Junzhou [1 ]
Song Aibo [1 ]
Dong Fang [1 ]
机构
[1] Southeast Univ, Sch Comp Sci & Engn, Nanjing, Jiangsu, Peoples R China
来源
JOURNAL OF INTERNET TECHNOLOGY | 2013年 / 14卷 / 04期
基金
中国国家自然科学基金;
关键词
data centers; Energy consumption; DVFS; DPS; OPTIMAL POWER ALLOCATION; MANAGEMENT;
D O I
10.6138/JIT.2013.14.4.06
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Data centers generally consume an enormous amount of energy, which not only increases the running cost but also simultaneously enhances their greenhouse gas emissions. This paper explores the benefits of Dynamic Voltage/Frequency Scaling (DVFS) and Vary-On Vary-Off (VOVO) for energy management in multi-tier data centers. Unlike previous work, which addressed the DVFS and VOVO separately. In this paper, an optimization problem is formulated to achieve energy benefits while maintaining performance in multi-tier data centers. DVFS and VOVO technology are combined to yield an optimal energy management strategy. From a user's perspective, only the end-to-end delay across the entire data center is relevant. The proposed optimization method offers controllable and predictable quantitative control of energy consumption with theoretically guaranteed end-to-end delay.
引用
收藏
页码:609 / 618
页数:10
相关论文
共 50 条
  • [31] Dynamic Voltage and Frequency Scaling-aware dynamic consolidation of virtual machines for energy efficient cloud data centers
    Arroba, Patricia
    Moya, Jose M.
    Ayala, Jose L.
    Buyya, Rajkumar
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2017, 29 (10)
  • [32] Energy-aware Task Scheduling Strategies with QoS Constraint for Green Computing in Cloud Data Centers
    Liu, Xing
    Liu, Panwen
    Li, Hongjing
    Li, Zheng
    Zou, Chengming
    Zhou, Haiying
    Yan, Xin
    Xia, Ruoshi
    PROCEEDINGS OF THE 2018 CONFERENCE ON RESEARCH IN ADAPTIVE AND CONVERGENT SYSTEMS (RACS 2018), 2018, : 260 - 267
  • [33] Particle Swarm Optimization for Energy-Aware Virtual Machine Placement Optimization in Virtualized Data Centers
    Wang, Shangguang
    Liu, Zhipiao
    Zheng, Zibin
    Sun, Qibo
    Yang, Fangchun
    2013 19TH IEEE INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS 2013), 2013, : 102 - 109
  • [34] Dual-Level Cooperative Game Approach for Energy-Aware Resource Allocation in Data Centers
    Kim, Sungwook
    IEEE ACCESS, 2019, 7 : 113642 - 113652
  • [35] Deadline-constrained energy-aware workflow scheduling in geographically distributed cloud data centers
    Hussain, Mehboob
    Wei, Lian-Fu
    Rehman, Amir
    Abbas, Fakhar
    Hussain, Abid
    Ali, Muqadar
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2022, 132 : 211 - 222
  • [36] Latency and Energy-Aware Load Balancing in Cloud Data Centers: A Bargaining Game Based Approach
    Kishor, Avadh
    Niyogi, Rajdeep
    Chronopoulos, Anthony Theodore
    Zomaya, Albert Y.
    IEEE TRANSACTIONS ON CLOUD COMPUTING, 2023, 11 (01) : 927 - 941
  • [37] An energy-aware dynamic data allocation mechanism for many-channel memory systems
    Sato M.
    Toyoshima T.
    Takayashiki H.
    Egawa R.
    Kobayashi H.
    Supercomputing Frontiers and Innovations, 2019, 6 (04) : 4 - 19
  • [38] Minimizing SLA violation and power consumption in Cloud data centers using adaptive energy-aware algorithms
    Zhou, Zhou
    Abawajy, Jemal
    Chowdhury, Morshed
    Hu, Zhigang
    Li, Keqin
    Cheng, Hongbing
    Alelaiwi, Abdulhameed A.
    Li, Fangmin
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 86 : 836 - 850
  • [39] An efficient energy-aware method for virtual machine placement in cloud data centers using the cultural algorithm
    Mahdieh Mohammadhosseini
    Abolfazl Toroghi Haghighat
    Ebrahim Mahdipour
    The Journal of Supercomputing, 2019, 75 : 6904 - 6933
  • [40] Energy-aware framework with Markov chain-based parallel simulated annealing algorithm for dynamic management of virtual machines in cloud data centers
    Rajabzadeh, Mehdi
    Haghighat, Abolfazl Toroghi
    JOURNAL OF SUPERCOMPUTING, 2017, 73 (05) : 2001 - 2017