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Intelligent power- and performance-aware tradeoffs for multicore servers in cloud data centers

Published: 08 April 2013 Publication History

Abstract

Cloud service providers are seeking new solutions for reducing the energy consumption in their data centers. Our work in developing middleware that is integrated with a Virtual Machine Manager (VMM) to lower the energy consumption while maximizing the performance of or minimizing the service level agreement (SLA) violations for applications. To that end our solution leverages techniques such as Dynamic voltage/frequency scaling (DVFS) and server consolidation through live migration of virtual machines from an overloaded host machine to a less-loaded one.

Reference

[1]
US Environmental Protection Agency, "Report to Congress on Server and Data Center Energy Efficiency: Public Law 109-431," www.energystar.gov/ia/partners/prod_development/downloads/EPA_Datacenter_Report_Congress_Final1.pdf, 2007.

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cover image ACM Conferences
ICCPS '13: Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems
April 2013
278 pages
ISBN:9781450319966
DOI:10.1145/2502524

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Association for Computing Machinery

New York, NY, United States

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Published: 08 April 2013

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  1. energy
  2. middleware
  3. multicore
  4. neural networks

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