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A Combined Frequency Scaling and Application Elasticity Approach for Energy-Efficient Virtualized Data Centers
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

At present, large-scale data centers are typically over-provisioned in order to handle peak

load requirements. The resulting low utilization of resources contribute to a huge amounts

of power consumption in data centers. The effects of high power consumption manifest in a

high operational cost in data centers and carbon footprints to the environment. Therefore,

the management solutions for large-scale data centers must be designed to effectively take

power consumption into account. In this work, we combine three management techniques

that can be used to control systems in an energy-efficient manner: changing the number of

virtual machines, changing the number of cores, and scaling the CPU frequencies. The proposed

system consists of a controller that combines feedback and feedforward information

to determine a configuration that minimizes power consumption while meeting the performance

target. The controller can also be configured to accomplish power minimization in

a stable manner, without causing large oscillations in the resource allocations. Our experimental

evaluation based on the Sysbench benchmark combined with workload traces from

production systems shows that our approach achieves the lowest energy consumption among

the compared three approaches while meeting the performance target.

Place, publisher, year, edition, pages
, UMNAD, 973
National Category
Engineering and Technology
URN: urn:nbn:se:umu:diva-85211OAI: diva2:692189
Educational program
Master's Programme in Computing Science
Available from: 2014-01-30 Created: 2014-01-30 Last updated: 2014-01-30Bibliographically approved

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