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Power and Performance Management of Virtualized Computing Environments Via Lookahead Control
Conference proceeding   Open access   Peer reviewed

Power and Performance Management of Virtualized Computing Environments Via Lookahead Control

D Kusic, J.O Kephart, J.E Hanson, N Kandasamy and Guofei Jiang
2008 International Conference on Autonomic Computing, pp 3-12
Jun 2008
DOI: https://doi.org/10.1109/ICAC.2008.31
url
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.613.6169View
Submitted,  Open

Abstract

Banking Business Control systems Energy management Environmental management Large-scale systems Platform virtualization Power management predictive control resource provisioning Resource virtualization Turning Virtual machining virtualization
There is growing incentive to reduce the power consumed by large-scale data centers that host online services such as banking, retail commerce, and gaming. Virtualization is a promising approach to consolidating multiple online services onto a smaller number of computing resources. A virtualized server environment allows computing resources to be shared among multiple performance-isolated platforms called virtual machines. By dynamically provisioning virtual machines, consolidating the workload, and turning servers on and off as needed, data center operators can maintain the desired quality-of-service (QoS) while achieving higher server utilization and energy efficiency. We implement and validate a dynamic resource provisioning framework for virtualized server environments wherein the provisioning problem is posed as one of sequential optimization under uncertainty and solved using a lookahead control scheme. The proposed approach accounts for the switching costs incurred while provisioning virtual machines and explicitly encodes the corresponding risk in the optimization problem. Experiments using the Trade6 enterprise application show that a server cluster managed by the controller conserves, on average, 26% of the power required by a system without dynamic control while still maintaining QoS goals.

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206 citations in Scopus

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