Estimating the Power Consumption of an Idle Virtual Machine

Flavien Quesnel 1, 2 Hemant Kumar Mehta 1, 2 Jean-Marc Menaud 1, 2
1 ASCOLA - Aspect and composition languages
LINA - Laboratoire d'Informatique de Nantes Atlantique, Département informatique - EMN, Inria Rennes – Bretagne Atlantique
Abstract : Power management has become one of the main challenges for data center infrastructures. Currently, the cost of powering a server is approaching the cost of the server hardware itself, and, in a near future, the former will continue to increase, while the latter will go down. In this context, virtualization is used to decrease the number of servers, and increase the efficiency of the remaining ones. If virtualization can be used to positively impact on the data center energy consumption, this new abstraction layer disconnects user services (hosted on a virtual machine) from their operating cost. In this paper, we propose an approach and a model to estimate the total power consumption of a virtual machine, by taking into account its static (e.g. memory) and dynamic (e.g. CPU) consumption of resources. This model permits to reconnect each VM to its corresponding operating cost, and provides more information to virtual infrastructure providers and users to optimize their infrastructure/applications. It can be observed from results of experiments that the proposed method outperforms the methods found in the literature that only consider the dynamic consumption of resources.
Type de document :
Communication dans un congrès
The 2013 IEEE International Conference on Green Computing and Communications (GreenCom 2013), Aug 2013, Beijing, China. 2013
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https://hal.inria.fr/hal-00838982
Contributeur : Flavien Quesnel <>
Soumis le : mercredi 26 juin 2013 - 20:25:23
Dernière modification le : mercredi 11 avril 2018 - 01:51:08

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  • HAL Id : hal-00838982, version 1

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Flavien Quesnel, Hemant Kumar Mehta, Jean-Marc Menaud. Estimating the Power Consumption of an Idle Virtual Machine. The 2013 IEEE International Conference on Green Computing and Communications (GreenCom 2013), Aug 2013, Beijing, China. 2013. 〈hal-00838982〉

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