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VirtualPower: coordinated power management in virtualized enterprise systems
Abstract
Power management has become increasingly necessary in large-scale datacenters to address costs and limitations in cooling or power delivery. This paper explores how to integrate power management mechanisms and policies with the virtualization technologies being actively deployed in these environments. The goals of the proposed VirtualPower approach to online power management are (i) to support the isolated and independent operation assumed by guest virtual machines (VMs) running on virtualized platforms and (ii) to make it possible to control and globally coordinate the effects of the diverse power management policies applied by these VMs to virtualized resources. To attain these goals, VirtualPower extends to guest VMs `soft' versions of the hardware power states for which their policies are designed. The resulting technical challenge is to appropriately map VM-level updates made to soft power states to actual changes in the states or in the allocation of underlying virtualized hardware. An implementation of VirtualPower Management (VPM) for the Xen hypervisor addresses this challenge by provision of multiple system-level abstractions including VPM states, channels, mechanisms, and rules. Experimental evaluations on modern multicore platforms highlight resulting improvements in online power management capabilities, including minimization of power consumption with little or no performance penalties and the ability to throttle power consumption while still meeting application requirements. Finally, coordination of online methods for server consolidation with VPM management techniques in heterogeneous server systems is shown to provide up to 34% improvements in power consumption.
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Citations
Cited by
Beloglazov, A., Abawajy, J., & Buyya, R. (2012) · Future Generation Computer Systems · doi:10.1016/j.future.2011.04.017 · Cited by 2,761
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
Beloglazov, A., Buyya, R., Lee, Y. C., & Zomaya, A. (2011) · Advances in Computers · doi:10.1016/b978-0-12-385512-1.00003-7 · Cited by 777
Energy Efficient Resource Management in Virtualized Cloud Data Centers
Beloglazov, A., & Buyya, R. (2010) · 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing · doi:10.1109/ccgrid.2010.46 · Cited by 760
Power and performance management of virtualized computing environments via lookahead control
Kusic, D., Kephart, J. O., Hanson, J. E., Kandasamy, N., & Jiang, G. (2009) · Cluster Computing · doi:10.1007/s10586-008-0070-y · Cited by 699
Mistral: Dynamically Managing Power, Performance, and Adaptation Cost in Cloud Infrastructures
Jung, G., Hiltunen, M. A., Joshi, K. R., Schlichting, R. D., & Pu, C. (2010) · 2010 IEEE 30th International Conference on Distributed Computing Systems · doi:10.1109/icdcs.2010.88 · Cited by 299
Metadata
- Authors
- Nathuji, R., & Schwan, K.
- Venue
- Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
- Publisher
- ACM
- Published
- 2007-10-14
- Pages
- 265-278
- OpenAlex
- W2158459299
- Cited by
- 606
- References
- 0
- FWCI
- 28.60
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Nathuji, R., & Schwan, K. (2007). VirtualPower: coordinated power management in virtualized enterprise systems. Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles. https://doi.org/10.1145/1294261.1294287
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