Energy Efficiency in Virtualized Data Center
-
2018-10-07 https://doi.org/10.14419/ijet.v7i4.15.23019 -
. -
Abstract
Industrial and academic communities have been trying to get more computational power out of their investments. Data centers have recently received huge attention due to its increased business value and achievable scalability on public/private clouds. Infra-structure and applications of modern data center is being virtualized to achieve energy efficient operation on servers. Despite of data center advantages on performance, there is a tradeoff between power and performance especially with cloud data centers. Today, these cloud application-based organizations are facing many energy related challenges. In this paper, through survey it has been analyzed how virtualization and networking related challenges affects energy efficiency of data center with suggested optimization strategies.
 -
References
[1] R. Brown, et al., Report to congress on server and data center energy efï¬ciency: Public law 109-431. Lawrence Berkeley National Lab, 2008.
[2] Energy Efï¬ciency and Server Virtualization in Data Centers: An Empirical Investigation Yichao Jin and Yonggang Wen Divison of Computer Communications School of Computer Engineering Nanyang Technological University.
[3] A. Beloglazov et al., Energy-aware resource allocation heuristics for efï¬cient management of data centers for cloud computing. Future Generation Computer Systems, Elsevier, May, 2011.
[4] T. Deshane, et al., Quantitative comparison of Xen and KVM. Xen Summit, Boston, MA, USA, pp. 1-2, Jun, 2008.
[5] R. Nathuji and K. Schwan. Virtualpower: Coordinated power management in virtualized enterprise systems. ACM SIGOPS Operating Systems Review, 41(6):265–278, 2007.
[6] Y. Song, H. Wang, Y. Li, B. Feng, and Y. Sun. Multi-Tiered On-Demand resource scheduling for VM-Based data center. In Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid-Volume 00, pages 148–155, 2009.
[7] C. Waldspurger and W. Weihl. An Object-Oriented Frame-work for Modular Resource Management, In Proc. of the 5th International Workshop on Object Orientation in Operating Systems, pages 138-143, October 1996.
[8] R. K. Sharma, C. E. Bash, C. D. Patel, R. J. Friedrich, and J. S. Chase. Balance of power: Dynamic thermal management for internet data centers. IEEE Internet Computing, pages 42–49, 2005.
[9] Y. Bard. Performance Analysis of Virtual Memory Time-Sharing Systems. Proc.of IBM Systems Journal, 14(4):366–384, 1975.
[10] P. Barham, et al., Xen and the Art of Virtualization. In Proc. of the 19th ACM symposium on operating systems principles, Dec, 2003.
[11] L. Cherkasova et al., Comparison of the three CPU schedulers in Xen. Sigmetrics Performance Evaluation Review 35(2): pp. 42-51, 2007.
[12] Yichao Jin, Yonggang Wen and Qinghua Chen, “Energy Efficiency and Server Virtualization in Data Centers: An Empirical Investigation,†IEEE INFOCOM Workshop on Communications and Control for Sustainable Energy Systems: Green Networking and Smart Grids, pp. 133-138,Mar. 2012.
[13] The Cost of a Cloud:Research Problems in Data Center Networks - Albert Greenberg, James Hamilton, David A. Maltz, Parveen Patel Microsoft Research, Redmond, WA, USA.
[14] Ahmed, Syed Faiz, et al. "Model Predictive Controller-based, Single Phase Pulse Width Modulation (PWM) Inverter for UPS Systems." ACTA POLYTECHNICA HUNGARICA 11.6 (2014): 23-38.
[15] E. R. Hinden. Virtual router redundancy protocol (VRRP). RFC 3768, 2004.
-
Downloads
-
How to Cite
Karamat Khan, T., Tanveer, M., & Shah, A. (2018). Energy Efficiency in Virtualized Data Center. International Journal of Engineering & Technology, 7(4.15), 315-317. https://doi.org/10.14419/ijet.v7i4.15.23019Received date: 2018-12-03
Accepted date: 2018-12-03
Published date: 2018-10-07