A Data Center Energy-Saving System and Method Based on Virtual IT Resource Distribution Technology

Abstract:

A data center energy-saving system and method based on virtual IT technology resource distribution technology is proposed in this paper. Through monitoring virtual environment resources in data center, the limited IT resources can be dynamically migrated and the auxiliary equipment resources such as air conditioner can be rationally managed. Then the resources can be reasonably and efficiently allocated by monitoring the virtual environment. With a closed-loop feedback control mechanism, it effectively improves the utilization of data center resources, and ultimately achieves the operation and maintenance for data center of green energy-saving target. This method was implemented in a true data center for cloud computing. Test results show that the total energy consumption of this system can be reduced by 13%, and the power usage effectiveness drops to 1.5.

• Periodical: Applied Mechanics and Materials (Volume 526)
• Pages: 297-302
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.526.297
• Online since: February 2014
• Authors: Yan Liang*, Fu Qiang Wang, Gang Li, Xing Fang, Chang Rong Ge, Xin Yan Zhao
• Keywords: Closed-Loop Feedback, Data Center, Dynamic Migration, Virtual Environment Monitoring, Virtual IT Resource

References

[1] M. Green, S. Karajgikar, P. Vozza, et al. Achieving Energy Efficient Data Centers Using Cooling Path Management Coupled with ASHRAE Standards, Proc of 28th IEEE SEMI-THERM Symposium, pp.288-292 (2012).

DOI: 10.1109/stherm.2012.6188862

[2] Ma, H. K. and Chen, C. H. Development of a divided zone method for power savings in a data center. Semiconductor Thermal Measurement and Management Symposium (SEMI-THERM), 2013 29th Annual IEEE, pp.33-38 (2013).

DOI: 10.1109/semi-therm.2013.6526802

[3] Jain, A., Mishra, M., Peddoju, S. K, et al. Energy efficient computing-green cloud computing. 2013 International Conference on Energy Efficient Technologies for Sustainability (ICEETS), pp.978-982 (2013).

DOI: 10.1109/iceets.2013.6533519

[4] Jiankang Dong, Xing Jin, Hongbo Wang, et al. Energy-saving virtual machine placement in cloud data centers. 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid), pp.618-624 (2013).

DOI: 10.1109/ccgrid.2013.107

[5] Chengjun Lei, Liang Luo and Wenjun Wu. Cloud Computing based Cluster Energy Monitoring and Energy Saving Method Study. Computer Applications and Software, Vol. 28, pp.242-244 (2011).

[6] Jaureguialzo, E. PUE: The Green Grid metric for evaluating the energy efficiency in DC (Data Center). Measurement method using the power demand. 2011 IEEE 33rd International Telecommunications Energy Conference (INTELEC), pp.1-8 (2011).

DOI: 10.1109/intlec.2011.6099718

[7] L L You, C Karamanolis. Evaluation of efficent archival storage techniques. Proc. 12th NASA Goddard Conference on MSST, pp.227-232 (2004).

[8] Luby, M.G., Mitzenmacher, M. et al. Efficient Erasure Correcting Codes. IEEE Transactions on Information Theory, vol. 47 (2001), pp.569-584.

DOI: 10.1109/18.910575