Data center power reduction by heuristic variation-aware server placement and chassis consolidation

Author(s):  
Ali Pahlavan ◽  
Mahmoud Momtazpour ◽  
Maziar Goudarzi
2014 ◽  
Vol 70 (2) ◽  
pp. 845-879 ◽  
Author(s):  
Ali Pahlavan ◽  
Mahmoud Momtazpour ◽  
Maziar Goudarzi

2020 ◽  
Vol 164 ◽  
pp. 114444 ◽  
Author(s):  
Xiaolei Yuan ◽  
Xinjie Xu ◽  
Yu Wang ◽  
Jinxiang Liu ◽  
Risto Kosonen ◽  
...  

2013 ◽  
Vol 45 (3) ◽  
pp. 1-38 ◽  
Author(s):  
Tom Bostoen ◽  
Sape Mullender ◽  
Yolande Berbers

2021 ◽  
Author(s):  
Brent Segner

<p>With the explosive growth of cloud computing over the last two decades, there has been a corresponding increase in data center power requirements to meet those needs. While there are numerous additional aspects of data center power management that could be explored from an environmental and facilities perspective, this research study will primarily focus on the cloud computing infrastructure. The objective of this focus will be on answering the research question “What methods are available to optimize power consumption in a cloud computing environment?” </p><div><br></div>


2021 ◽  
Author(s):  
Brent Segner

<p>With the explosive growth of cloud computing over the last two decades, there has been a corresponding increase in data center power requirements to meet those needs. While there are numerous additional aspects of data center power management that could be explored from an environmental and facilities perspective, this research study will primarily focus on the cloud computing infrastructure. The objective of this focus will be on answering the research question “What methods are available to optimize power consumption in a cloud computing environment?” </p><div><br></div>


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