Optimizing Power and Energy Efficiency in Cloud Computing

Khan, Naveed; Haugerud, Hårek; Shrestha, Raju; Yazidi, Anis
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https://hdl.handle.net/10642/8146
Date
2019
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Khan N, Haugerud H, Shrestha R, Yazidi A: Optimizing Power and Energy Efficiency in Cloud Computing. In: NN N. 11th ACM International Conference on Management of Digital EcoSystems, 2019. ACM Publications   https://dx.doi.org/10.1145/3297662.3365820
Abstract
With the exponential growth in cloud computing, the steadily increasing amount of power consumption due to the use of physical and virtual machines is becoming a serious challenge. In this context, we report a study on optimizing the power and energy efficiency of physical and virtual machines in a cloud computing environment. The energy profile of different workloads is thoroughly investigated under different configurations. This paper presents the findings from our study which provides a good understanding of how different workloads affect power and energy efficiency of both physical and virtual machines.
Publisher
ACM Publications
Series
MEDES '19: Proceedings of the 11th International Conference on Management of Digital EcoSystems;