1McCullough JC, Agarwal Y, Chandrashekar J, Kuppuswamy S, Snoeren AC, Gupta RK. Evaluating the effectiveness of model- based power characterization. In: Proc. of the USENIX Annual Technical Conf. USENIX Association Berkeley, 2011. 12. https://www.usenix.org/legacy/events/atc 11/tech/final_files/McCullough.pdf.
2Pakbaznia E, Pedram M. Minimizing data center cooling and server power costs. In: Proc. of the 14th ACM/IEEE Int'l Symp. on Low Power Electronics and Design. New York: ACM Press, 2009. 145-150. [doi: 10.1145/1594233.1594268].
3Bash C, Forman G. Cool job allocation: Measuring the power savings of placing jobs at cooling-efficient locations in the data center. In: Proc. of the 14th USENIX Annual Technical Conf. USENIX Association Berkeley, 2007. 138-140. http://dl.acm.org/ citation.cfm?id= 1364414.
4Moreno-Vozmediano R, Montero RS, Llorente IM. Key challenges in cloud computing: Enabling the future Internet of services. Internet Computing, IEEE, 2013,17(4):18-25. [doi: 10.1109/MIC.2012.69].
5Barbulescu M, Grigoriu RO, Neculoiu G, Halcu I, Sandulescu VC, Niculescu-Faida O, Marinescu M, Marinescu V. Energy efficiency in cloud computing and distributed systems. In: Proc. of the 2013 14th RoEduNet Int'l Conf. on Networking in Education and Research. IEEE, 2013.1-5. [doi: 10.1109/RoEduNet.2013.6714197].
6Fan X, Weber WD, Barroso LA. Power provisioning for a warehouse-sized computer. ACM SIGARCH Computer Architecture News, 2007,35(2):13-23. [doi: 10.1145/1250662.1250665].
7Hsu CH, Poole SW. Power signature analysis of the SPECpower_ssj2008 Benchmark. In: Proc. of the 2011 14th IEEE Int'l Symp. on Performance Analysis of Systems and Software (ISPASS). IEEE, 2011. 227-236. Idol: 10.1109/ISPASS.2011.5762739].
8Beloglazov A, Abawajy J, Buyya R. Energy-Aware resource allocation heuristics for efficient management of data centers for cloud computing. Future Generation Computer Systems, 2012,28(5):755-768. [doi: 10.10 t 6/j.future.2011.04.017].
9Eeonomou D, Rivoire S, Kozyrakis C, Ranganathan P. Full-System power analysis and modeling for server environments. In: Proc. of the l 4th Int' 1 Syrup. on Computer Architecture. IEEE, 2006, 70-77. http://citeseerx.ist.psu.edu/viewdoc/summary?doi= 10.1.1.84. 1332.
10Lewis AW, Ghosh S, Tzeng NF. Run-Time energy consumption estimation based on workload in server systems. HotPower, 2008, 8:17-21. https://www.usenix.rg/egay/events/htpwer8/teh/fuMapers/ewis/ewis-htm/.