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2012 IEEE Fifth International Conference on Cloud Computing
Energy Management in IaaS Clouds: A Holistic Approach
Honolulu, HI, USA USA
June 24-June 29
ISBN: 978-1-4673-2892-0
Energy efficiency has now become one of the major design constraints for current and future cloud data center operators. One way to conserve energy is to transition idle servers into a lower power-state (e.g. suspend). Therefore, virtual machine (VM) placement and dynamic VM scheduling algorithms are proposed to facilitate the creation of idle times. However, these algorithms are rarely integrated in a holistic approach and experimentally evaluated in a realistic environment. In this paper we present the energy management algorithms and mechanisms of a novel holistic energy-aware VM management framework for private clouds called Snooze. We conduct an extensive evaluation of the energy and performance implications of our system on 34 power-metered machines of the Grid'5000 experimentation testbed under dynamic web workloads. The results show that the energy saving mechanisms allow Snooze to dynamically scale data center energy consumption proportionally to the load, thus achieving substantial energy savings with only limited impact on application performance.
Index Terms:
Resource management,Vectors,Monitoring,Heuristic algorithms,Energy management,Servers,Estimation,Virtualization,Cloud Computing,Energy Management,Consolidation,Relocation,Live Migration
Citation:
Eugen Feller, Cyril Rohr, David Margery, Christine Morin, "Energy Management in IaaS Clouds: A Holistic Approach," cloud, pp.204-212, 2012 IEEE Fifth International Conference on Cloud Computing, 2012
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