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The Balance Mechanism of Power and Performance in the Virtualization

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Published:01 December 2013Publication History

ABSTRACT

Energy has become an important resource for computer system. In multicore systems, shared resource can lead to contention between tasks running on different cores, which also will give rise to poor power efficiency. The system with dynamic voltage and frequency scaling(DVFS) capability provide support for dynamic energy management to make a better energy efficiency. However, the coming of the virtualization technology make different in energy management.

In this paper, we present the policies into a virtualization system, to improve the performance and energy efficiency by avoiding the resource contention of virtual CPU, which the application run on it, and use frequency scaling. Our evaluation based on Xen virtualization environment shows that our policies reduce the energy delay product considerably.

References

  1. R. Gonzalez, and M. Horowitz, 1996. Energy dissipation in general purpose microprocessors. In IEEE Journal of Solid-State Circuits, 31(9),Google ScholarGoogle ScholarCross RefCross Ref
  2. V. Freeh, F. Pan, D. Lowenthal, N. Kappiah, R. Springer, B. Rountree, and M. Femal. 2007. Analyzing the energy-time trade-off in high-performance computing applica-tions. In IEEE Transactions on Parallel and Distributed Systems Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. D. Snowdon, E. Le Sueur, S. Petters, and G. Heiser. Koala. 2009. A platform for OS-level power management. In Fourth ACMSIGOPS EuroSys Conference Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Andreas Merkel, Jan Stoess, and Frank Bellosa. 2010. Resource-conscious Scheduling for Energy Efficiency on Multicore Processors. In EuroSys Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Anshul Gandhi, Varun Gupta, Mor Harchol-Balter, and Michael A. Kozuch. 2010. Optimality analysis of energy-performance trade-off for server farm management. in Performance Evaluation, vol. 67 Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Gregor von Laszewski, Lizhe Wang, Andrew J. Younge, and Xi He. 2009. Power-Aware Scheduling of Virtual Machines in DVFS-enabled Clusters. In CLUSTERGoogle ScholarGoogle Scholar
  7. M. Weiser, B. Welch, A. Demers, and S. Shenker. 1994. Scheduling for Reduced CPU Energy. in Operating Systems Design and Implementation Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Jian-Jun Han, Xiaodong Wu, Dakai Zhu, Hai Jin, Laurence T. Yang, and Jean-Luc Gaudiot. 2012. Synchronization-Aware Energy Management for VFI-Based Multicore Real-Time Systems. In Computers, IEEE Transactions on, vol. 61, Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Akshat Verma, Puneet Ahuja, and Anindya Neogi. 2008. pMapper: Power and Migration Cost A ware Application Placement in Virtualized Systems. In IFIP,Google ScholarGoogle Scholar
  10. Fabien Hermenier, Nicolas Loriant, and Jean-Marc Menaud. 2006. Power Management in Grid Computing with Xen. In ISPA Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Min Yeol Lim, Rawson F, Bletsch T, and Freeh Vincent W. 2009. PADD: Power Aware Domain Distribution. In ICDCSGoogle ScholarGoogle Scholar
  12. Luiz Andr Barroso, Jeffrey Dean, and Urs Holzle. 2003. Web search for a planet: The Google cluster architecture. In Micro, IEEE Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. R. Ge, X. Feng, and K. Cameronm. 2005. Performance-constrained distributed dvs scheduling for scientific applications on power-aware clusters. in Proceedings of the 2005 ACM/IEEE conference on Supercomputing Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Intel Labs. 2010. The SCC Platform Overview Revision 0.7. Intel Labs.Google ScholarGoogle Scholar

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  1. The Balance Mechanism of Power and Performance in the Virtualization

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              • Published in

                cover image ACM Other conferences
                ICCC '13: Proceedings of the Second International Conference on Innovative Computing and Cloud Computing
                December 2013
                285 pages
                ISBN:9781450321198
                DOI:10.1145/2556871
                • General Chairs:
                • Min Wu,
                • Wei Lee,
                • Program Chairs:
                • Yiyi Zhouzhou,
                • Riza Esa,
                • Xiang Lee

                Copyright © 2013 ACM

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                Association for Computing Machinery

                New York, NY, United States

                Publication History

                • Published: 1 December 2013

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