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
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