Research on Key Energy-Saving Technologies in Green Data Centers

被引:2
|
作者
Chang, Xiaolei [1 ]
Yang, Shu [2 ]
Jiang, Yong [1 ]
Xie, Xiaonan [3 ]
Tang, Xiaolin [4 ]
机构
[1] Tsinghua Shenzhen Int Grad Sch, Shenzhen, Peoples R China
[2] Shenzhen Univ, Coll Comp Sci & Software Engn, Shenzhen, Peoples R China
[3] Tsinghua Univ Shenzhen, Res Inst, Shenzhen, Peoples R China
[4] China Resources Grp, Shenzhen, Peoples R China
关键词
Data center network; energy-efficient routing; flow scheduling; game theory;
D O I
10.1109/SmartCloud49737.2020.00029
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid development of the data-intensive industries, the demands for large-scale data centers become tremendous. Accordingly, the problem of saving energy in the operation & maintenance of the data centers has become increasingly important. In this paper, we summarize the key technologies for networking energy saving and environment energy saving in large-scale data center networks. The key technologies include network topology optimization, network routing optimization, flow scheduling, and intelligent electric management and optimization of data centers. The network energy consumption with different network topology structures and routing algorithms are analyzed and compared, and important technical directions for several energy saving mechanisms such as energy-efficient routing and network device sleeping technology on network energy saving of the entire data center are studied. Besides, other research directions of relevant energy saving and cost reduction technologies are studied in the paper.
引用
收藏
页码:111 / 115
页数:5
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