Temperature-Aware Virtual Data Center Embedding to Avoid Hot Spots in Data Centers

被引:13
作者
Guo, Chao [1 ,2 ]
Xu, Kai [2 ]
Shen, Gangxiang [3 ]
Zukerman, Moshe [2 ]
机构
[1] Soochow Univ, Suzhou 215006, Peoples R China
[2] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China
[3] Soochow Univ, Sch Elect & Informat Engn, Suzhou, Peoples R China
来源
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING | 2021年 / 5卷 / 01期
关键词
Data center network; hot spot; temperature; virtual data center; VDC embedding; SLAS;
D O I
10.1109/TGCN.2020.3015234
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Virtual Data Center (VDC) embedding has drawn significant attention recently because of the growing need for efficient and flexible means of Data Center (DC) resource allocation. Existing studies on VDC embedding mainly focus on improving DCs' resource utilization. However, an important problem that has not been considered in VDC embedding solutions is the creation of hot spots by excessive heat dissipation and hot air generation from racks in DCs, which have significant adverse effects on energy consumption of the cooling system and IT equipment lifespan. To address this issue, we propose a temperature-aware VDC embedding scheme to avoid hot spots by minimizing the maximum temperature of hot air drawn to each rack. Meanwhile, we also aim to reduce the total power consumption of IT equipment in this scheme. A Mixed Integer Linear Programming (MILP) model and a heuristic algorithm are developed to implement the proposed VDC embedding scheme. Numerical results show that the proposed temperature-aware embedding scheme can significantly outperform a load-balanced embedding scheme in terms of maximum rack temperature, total power consumption of IT equipment, and VDC rejection ratio. Compared with a scheme that focuses only on maximizing IT resource utilization, which we refer to as IT-only energy-efficient scheme, our proposed scheme can significantly reduce maximum rack temperature and VDC rejection ratio while keeping the total power consumption of IT equipment close to that of an IT-only energy-efficient scheme.
引用
收藏
页码:497 / 511
页数:15
相关论文
共 49 条
  • [1] Ajiro Yasuhiro, 2007, CMG'07 International Conference, P399
  • [2] Greenslater: On Satisfying Green SLAs in Distributed Clouds
    Amokrane, Ahmed
    Langar, Rami
    Zhani, Mohamed Faten
    Boutaba, Raouf
    Pujolle, Guy
    [J]. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2015, 12 (03): : 363 - 376
  • [3] Greenhead: Virtual Data Center Embedding across Distributed Infrastructures
    Amokrane, Ahmed
    Zhani, Mohamed Faten
    Langar, Rami
    Boutaba, Raouf
    Pujolle, Guy
    [J]. IEEE TRANSACTIONS ON CLOUD COMPUTING, 2013, 1 (01) : 36 - 49
  • [4] [Anonymous], 2011, ASHRAE TC 9.9
  • [5] Towards Predictable Datacenter Networks
    Ballani, Hitesh
    Costa, Paolo
    Karagiannis, Thomas
    Rowstron, Ant
    [J]. ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2011, 41 (04) : 242 - 253
  • [6] Banerjee A., 2010, 2010 International Conference on Green Computing (Green Comp), P245, DOI 10.1109/GREENCOMP.2010.5598306
  • [7] Data Center Network Virtualization: A Survey
    Bari, Md. Faizul
    Boutaba, Raouf
    Esteves, Rafael
    Granville, Lisandro Zambenedetti
    Podlesny, Maxim
    Rabbani, Md Golam
    Zhang, Qi
    Zhani, Mohamed Faten
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2013, 15 (02): : 909 - 928
  • [8] Optimal and dynamic virtual datacenter provisioning over metro-embedded datacenters with holistic SDN orchestration
    Cao, Xiaoyuan
    Popescu, Ion
    Chen, Gang
    Guo, Hongxiang
    Yoshikane, Noboru
    Tsuritani, Takehiro
    Wu, Jian
    Morita, Itsuro
    [J]. OPTICAL SWITCHING AND NETWORKING, 2017, 24 : 1 - 11
  • [9] Virtual Machine Placement Algorithm for Energy Saving and Reliability of Servers in Cloud Data Centers
    Choi, JungYul
    [J]. JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT, 2019, 27 (01) : 149 - 165
  • [10] Cormen T. H., 2009, INTRO ALGORITHMS