[1] P. Mell and T. Grance, "The NIST definition of cloud computing," 2011.
[2] R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, "Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility," Future Generation computer systems, vol. 25, no. 6, pp. 599-616, 2009.
[3] A. Beloglazov, R. Buyya, Y. C. Lee, and A. Zomaya, "A taxonomy and survey of energy-efficient data centers and cloud computing systems," in Advances in computers, vol. 82: Elsevier, 2011, pp. 47-111.
[4] C. Pettey, "Gartner estimates ICT industry accounts for 2 percent of global CO2 emissions,"
Dostupno na: https://www. gartner. com/newsroom/id/503867, vol. 14, p. 2013, 2007.
[5] C. Hepburn, "Regulating by prices, quantities or both: an update and an overview," Oxford Review of Economic Policy, vol. 22, no. 2, pp. 226-247, 2006.
[6] G. Lewis, "Basics about cloud computing," Software engineering institute carniege mellon university, Pittsburgh, 2010.
[7] N. Grozev and R. Buyya, "Inter‐Cloud architectures and application brokering: taxonomy and survey," Software: Practice and Experience, vol. 44, no. 3, pp. 369-390, 2014.
[8] A. Khosravi, L. L. Andrew, and R. Buyya, "Dynamic vm placement method for minimizing energy and carbon cost in geographically distributed cloud data centers," IEEE Transactions on Sustainable Computing, vol. 2, no. 2, pp. 183-196, 2017.
[9] Y. Ajiro and A. Tanaka, "Improving packing algorithms for server consolidation," in int. CMG Conference, 2007, vol. 253, pp. 399-406.
[10] M. Giacobbe, A. Celesti, M. Fazio, M. Villari, and A. Puliafito, "An approach to reduce energy costs through virtual machine migrations in cloud federation," in 2015 IEEE Symposium on Computers and Communication (ISCC), 2015, pp. 782-787: IEEE.
[11] M. Giacobbe, A. Celesti, M. Fazio, M. Villari, and A. Puliafito, "An approach to reduce carbon dioxide emissions through virtual machine migrations in a sustainable cloud federation," in 2015 Sustainable Internet and ICT for Sustainability (SustainIT), 2015, pp. 1-4: IEEE.
[12] L. Lefèvre and A.-C. Orgerie, "Designing and evaluating an energy efficient cloud," The Journal of Supercomputing, vol. 51, no. 3, pp. 352-373, 2010.
[13] L. A. Barroso and U. Hölzle, "The case for energy-proportional computing," Computer, vol. 40, no. 12, pp. 33-37, 2007.
[14] M. Lin, A. Wierman, L. L. Andrew, and E. Thereska, "Dynamic right-sizing for power-proportional data centers," IEEE/ACM Transactions on Networking, vol. 21, no. 5, pp. 1378-1391, 2012.
[15] D. Shen et al., "Stochastic modeling of dynamic right-sizing for energy-efficiency in cloud data centers," Future Generation Computer Systems, vol. 48, pp. 82-95, 2015.
[16] H. Duan, C. Chen, G. Min, and Y. Wu, "Energy-aware scheduling of virtual machines in heterogeneous cloud computing systems," Future Generation Computer Systems, vol. 74, pp. 142-150, 2017.
[17] F. Juarez, J. Ejarque, and R. M. Badia, "Dynamic energy-aware scheduling for parallel task-based application in cloud computing," Future Generation Computer Systems, vol. 78, pp. 257-271, 2018.
[18] A. Khosravi, S. K. Garg, and R. Buyya, "Energy and carbon-efficient placement of virtual machines in distributed cloud data centers," in European Conference on Parallel Processing, 2013, pp. 317-328: Springer.
[19] K. Haghshenas, A. Pahlevan, M. Zapater, S. Mohammadi, and D. Atienza, "Magnetic: Multi-agent machine learning-based approach for energy efficient dynamic consolidation in data centers," IEEE Transactions on Services Computing, 2019.
[20] S.-Y. Hsieh, C.-S. Liu, R. Buyya, and A. Y. Zomaya, "Utilization-prediction-aware virtual machine consolidation approach for energy-efficient cloud data centers," Journal of Parallel and Distributed Computing, vol. 139, pp. 99-109, 2020.
[21] R. Yadav, W. Zhang, O. Kaiwartya, P. R. Singh, I. A. Elgendy, and Y.-C. Tian, "Adaptive energy-aware algorithms for minimizing energy consumption and SLA violation in cloud computing," IEEE Access, vol. 6, pp. 55923-55936, 2018.
[22] J. Peterpaul, "Solar panel module and support therefor," ed: Google Patents, 1987.
[23] P. Thibodeau, "Wind power data center project planned in urban area," ComputerWorld, Apr, 2008.
[24] M. C. Silva Filho, R. L. Oliveira, C. C. Monteiro, P. R. Inácio, and M. M. Freire, "CloudSim plus: a cloud computing simulation framework pursuing software engineering principles for improved modularity, extensibility and correctness," in 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017, pp. 400-406: IEEE.
[26] S. Pelley, D. Meisner, T. F. Wenisch, and J. W. VanGilder, "Understanding and abstracting total data center power," in Workshop on Energy-Efficient Design, 2009, vol. 11, pp. 1-6.
[30] M. Dunlap, W. Marion, and S. Wilcox, "Solar radiation data manual for flat-plate and concentrating collectors," National Renewable Energy Lab., Golden, CO (United States)1994.