In this paper the approach of server cluster nodes energy models forming is described. The approach is based on idea of each node’s power consumption from central processor utilization individual dependencies defining and further usage of interpolation by a canonical polynomial method for functions forming. The proposed approach allows to form accurate energy models taking into account their individual character for each node.
1. Koomey J. G. Worldwide electricity used in data centers / J. Koomey // Environmental Research Letters, vol. 3, no. 3, p., 2008. 2. Möbius C. Power Consumption Estimation Models for Processors, Virtual Machines, and Servers / Christoph Möbius, Waltenegus Dargie, Alexander Schill // IEEE Transactions on Parallel and Distributed Systems, Vol. 25, no. 6, June 2014. 3. Warkozek G. A new approach to model energy consumption of servers in Data Centers / Ghaith Warkozek, Elisabeth Drayer, Vincent Debusschere, Seddik Bacha // lCIT 2012, 2012. 4. Dayarathna M. Data Center Energy Consumption Modeling: A Survey / Miyuru Dayarathna, Yonggang Wen, Senior Member, IEEE, and Rui // IEEE COMMUNICATIONS SURVEYS & TUTORIALS, VOL. 18, NO. 1, FIRST QUARTER 2016. 5. Beloglazov A. Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing / A. Beloglazov, J. Abawajy, and R. Buyya // Future Gener. Comput. Syst., vol. 28, no. 5. P. 755–768, May 2012. 6. Luo J. Hybrid shuffled frog leaping algorithm for energy-efficient dynamic consolidation of virtual machines in cloud data centers / J. Luo, X. Li, and M. Chen // Expert Syst. Appl., vol. 41, no. 13. P. 5804–5816, Oct. 2014. 7. Gao Y. An Energy and Deadline Aware Resource Provisioning, Scheduling and Optimization Framework for Cloud Systems / Y. Gao, Y. Wang, S. K. Gupta and M. Pedram // in Proceedings of the Ninth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, Piscataway, NJ, USA, 2013. — P. 31:1–31:10.