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An Analysis on Personalization Technologies of Policy Based Dynamic Power Management of a Server System

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Human Centric Technology and Service in Smart Space

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 182))

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Abstract

This paper presents an analysis about personalization technologies of policy based dynamic power management of a server system by using the result of the survey. First, we surveyed about the technologies of policy based dynamic power management of a server system, which are adopted into IT infrastructure via boom of green technology. In addition, we analyze the requirements of the personalization technologies of the policy of the dynamic power management. We suggest the required functions of the policy based power management in terms of personalization.

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References

  1. Benini, L., Bogliolo, A., Paleologo, G.A., Micheli, D.G.: Policy Optimization for Dynamic Power Management. IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems 18, 813–833 (1999)

    Article  Google Scholar 

  2. Chedid, W., Yu, C.: Survey on Power Management Techniques for Energy Efficient Computer Systems. Laboratory Report. Mobile Computing Research Lab (2002)

    Google Scholar 

  3. Elnozahy, M., Kistler, M., Rajamony, R.: Energy Conservation Policies for Web Server. In: Proceedings of the 4th USENIX Symposium on Internet Technologies and Systems, pp. 99–112 (2003)

    Google Scholar 

  4. Niyato, D., Chaisiri, S., Sung, L.B.: Optimal Power Management for Server Farm to Support Green Computing. In: Proceedings of CCGRID 2009, pp. 84–91 (2009)

    Google Scholar 

  5. Benini, L., Bogliolo, A., Micheli, D.G.: A Survey of Design Techniques for System-Level Dynamic Power Management. IEEE Trans. on Very Large Scale Integration (VLSI) Systems 8, 299–316 (2000)

    Article  Google Scholar 

  6. Norman, G., Parker, D., Kwiatkowska, M., Shukla, S., Gupta, R.: Using Probabilistic Model Checking for Dynamic Power Management. In: Formal Aspects of Computing, vol. 17(2), pp. 160–176. Springer, Heidelberg (2005)

    Google Scholar 

  7. Document for OpenIPMI (2006), http://openipmi.sourceforge.net/IPMI.pdf (retrieved February 10, 2006)

  8. Kim, D.W., Kim, S.W., Kim, S.W.: The Power Management Technology for Green Datacenter. Electronics and Telecommunications Trends 24(4), 112–125 (2009)

    Google Scholar 

  9. Das, R., Kephart, J.O., Lefurgy, C.: Autonomic Multi-Agent Management of Power and Performance in Data Centers. In: AAMAS 2008 Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems: Industrial Track, pp. 107–114 (2008)

    Google Scholar 

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Correspondence to Dong-oh Kang .

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© 2012 Springer Science+Business Media Dordrecht

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Kang, Do., Jung, J., Kim, D., Lee, H., Bae, C. (2012). An Analysis on Personalization Technologies of Policy Based Dynamic Power Management of a Server System. In: Park, J., Jin, Q., Sang-soo Yeo, M., Hu, B. (eds) Human Centric Technology and Service in Smart Space. Lecture Notes in Electrical Engineering, vol 182. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5086-9_36

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  • DOI: https://doi.org/10.1007/978-94-007-5086-9_36

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-5085-2

  • Online ISBN: 978-94-007-5086-9

  • eBook Packages: EngineeringEngineering (R0)

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