.png){kind=icon}
返回
Operational Cost Optimization for Cloud Computing Data Centers Using Renewable Energy
.png){kind=icon}
OA
AI
DOI：10.1109/JSYST.2015.2462714.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The electricity cost of cloud computing data centers, dominated by server power and cooling power, is growing rapidly. To tackle this problem, inlet air with moderate temperature and server consolidation are widely adopted. However, the benefit of these two methods is limited due to conventional air cooling system ineffectiveness caused by recirculation and low heat capacity. To address this problem, hybrid air and liquid cooling, as a practical and inexpensive approach, has been introduced. In this paper, we quantitatively analyze the impact of server consolidation and temperature of cooling water on the total electricity and server maintenance costs in hybrid cooling data centers. To minimize the total costs, we proposed to maintain sweet temperature and available sleeping time threshold (ASTT) by which a joint cost optimization can be satisfied. By using real-world traces, the potential savings of sweet temperature and ASTT are estimated to be average 23% of the total cost, while 96% requests are satisfied compared to a strategy which only reduces electricity cost. The co-optimization is extended to increase the benefit of the renewable energy, and its profit grows as more wind power is supplied.
Keyword:
Cost optimization
data center
hybrid cooling
renewable energy
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
2.4
论文数:
4.5K
被引数:
387
机构
引用论文
Heavy Metal Transport and Detoxification in Crustacean Gastrointestinal and Renal Epithelial Cells
PREAI
分享收藏
分享收藏分享收藏分享收藏Aquasar: A hot water cooled data center with direct energy reuseAquasar: 具有直接能源再利用的热水冷却数据中心.png)
ENERGY
ENERGYIF9.4
PREAI
分享收藏
查看更多内容