Institute of Computing Technology, Chinese Academy IR
Modeling the failures of power-aware data centers by leveraging heat recirculation | |
Feng, Hao1; Deng, Yuhui1,2; Yu, Liang1 | |
2021-04-10 | |
发表期刊 | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE |
ISSN | 1532-0626 |
卷号 | 33期号:7页码:15 |
摘要 | With the explosive growth of data, hundreds of thousands of servers may be contained in a single data center. Hence, node failures are unavoidable and generally negatively effects the performance of the whole data center. Additionally, data centers with a large number of nodes will cause plenty of energy consumption. Many existing task scheduling techniques can effectively reduce the power consumption in data centers by considering heat recirculation. However, the traditional techniques do not take the situation of node failures into account. This paper proposes an airflow-based failure model for data centers by leveraging heat recirculation. In this model, the spatial distribution and time distribution of failures are considered. Furthermore, a genetic algorithm (GA) and a simulated annealing algorithm (SA) are implemented to evaluate the proposed failure model. Because the positions of node failures have a significant impact on the heat recirculation and the energy consumption of data centers, failures with different positions are analyzed and evaluated. The experimental results demonstrate that the energy consumption of data centers can be significantly reduced by using the GA and SA algorithms for task scheduling based on the proposed failure model. |
关键词 | data center energy efficiency heat recirculation node failure task schedule |
DOI | 10.1002/cpe.5244 |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Software Engineering ; Computer Science, Theory & Methods |
WOS记录号 | WOS:000632049700005 |
出版者 | WILEY |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/16823 |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Deng, Yuhui |
作者单位 | 1.Jinan Univ, Dept Comp Sci, 601 West Huangpu Ave, Guangzhou 510632, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Comp Architecture, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Feng, Hao,Deng, Yuhui,Yu, Liang. Modeling the failures of power-aware data centers by leveraging heat recirculation[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2021,33(7):15. |
APA | Feng, Hao,Deng, Yuhui,&Yu, Liang.(2021).Modeling the failures of power-aware data centers by leveraging heat recirculation.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,33(7),15. |
MLA | Feng, Hao,et al."Modeling the failures of power-aware data centers by leveraging heat recirculation".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 33.7(2021):15. |
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