[1. Buyya, R. K., et al. Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility. – Future Generation Computer Systems, Vol. 25, 2009, No 6, pp. 599-616.10.1016/j.future.2008.12.001]Search in Google Scholar
[2. Li, W., J. Tordsson, E. Elmroth. Modelling for Dynamic Cloud Scheduling via Migration of Virtual Machines. – In: Proc. of 3rd IEEE Int. Conf. Cloud Comput. Technol. Sci. CloudCom’2011, 2011, pp. 163-171.10.1109/CloudCom.2011.31]Search in Google Scholar
[3. Davis, L. J., L. J. Davis. Selection of Load Balancing Parameters. – Vol. 9655, 2015, No October.]Search in Google Scholar
[4. Ullman, J. D. NP-Complete Scheduling Problems. – Journal of Computer and System Sciences, Vol. 10, 1975, No 3, pp. 384-393.10.1016/S0022-0000(75)80008-0]Search in Google Scholar
[5. Srinivas, N., K. Deb. Multiobjective Optimization Using No Dominated Sorting in Genetic Algorithms. – Evol. Comput., Vol. 2, 1995, No 3, pp. 221-248.10.1162/evco.1994.2.3.221]Search in Google Scholar
[6. Yair, C. Pareto Optimality in Multiobjective Problems. – Applied Mathematics and Optimization, Vol. 4, 1977, No 1, pp. 41-59.10.1007/BF01442131]Search in Google Scholar
[7. Liu, Q., et al. An Adaptive Approach to Better Load Balancing in a Consumer-Centric Cloud Environment. – IEEE Transactions on Consumer Electronics, Vol. 62, 2016, No 3, pp. 243-250.10.1109/TCE.2016.7613190]Search in Google Scholar
[8. Shaw, S. B. Balancing Load of Cloud Data Centre Using Efficient Task Scheduling Algorithm. – International Journal of Computer Applications, Vol. 159, 2017, No 5, pp. 1-5.10.5120/ijca2017910945]Search in Google Scholar
[9. Ayyapazham, R., K. Velautham. Proficient Decision Making on Virtual Machine Creation in IaaS Cloud Environment. – Vol. 14, 2017, No 3, pp. 314-323.]Search in Google Scholar
[10. Rajeev, K., T. Prashar. A Bio-Inspired Hybrid Algorithm for Effective Load Balancing in Cloud Computing. – International Journal of Cloud Computing, Vol. 5, 2016, No 3, pp. 218-246.10.1504/IJCC.2016.10000909]Search in Google Scholar
[11. Devi, D. C., V. R. Uthariaraj. Load Balancing in Cloud Computing Environment Using Improved Weighted Round Robin Algorithm for Nonpreemptive Dependent Tasks. – The Scientific World Journal, Vol. 2016, 2016.10.1155/2016/3896065475621426955656]Search in Google Scholar
[12. Feng, Y., et al. A Novel Cloud Load Balancing Mechanism in Premise of Ensuring QoS. – Intelligent Automation & Soft Computing, Vol. 19, 2013, No 2, pp. 151-163.10.1080/10798587.2013.786968]Search in Google Scholar
[13. Bhatt, H., H. A. Bheda. Enhance Load Balancing Using Flexible Load Sharing in Cloud Computing. – 2015, No September, pp. 4-5.10.1109/NGCT.2015.7375085]Search in Google Scholar
[14. Liu, C. A Load Balancing Aware Virtual Machine Live Migration Algorithm. – In: Proc. of International Conference on Sensors, Measurement and Intelligent Materials, 2016.10.2991/icsmim-15.2016.69]Search in Google Scholar
[15. Shikha, G., R. K. Dwivedi, H. Chauhan. Efficient Utilization of Virtual Machines in Cloud Computing Using Synchronized Throttled Load Balancing. – Proc. of 1st International Conference on Next Generation Computing Technologies (NGCT’15), IEEE, 2015.]Search in Google Scholar
[16. Pham, N. M. N., H. H. C. Nguyen. Energy Efficient Resource Allocation for Virtual Services Based on Heterogeneous Shared Hosting Platforms in Cloud Computing. – Cybernetic and Information Technologies, Vol. 17, 2017, No 3, pp. 47-58.10.1515/cait-2017-0029]Search in Google Scholar
[17. Atyaf, D., K. I. Arif. An Efficient Load Balancing Scheme for Cloud Computing. – Indian Journal of Science and Technology, Vol. 10, 2017, No 11.10.17485/ijst/2017/v10i11/110107]Search in Google Scholar
[18. Deb, K., S. Agrawal, A. Pratap, T. Meyarivan. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II. – Parallel Probl. Solving from Nat. PPSN VI, 2000, pp. 849-858.10.1007/3-540-45356-3_83]Search in Google Scholar
[19. Ruiz, R., C. Maroto, J. Alcaraz. Two New Robust Genetic Algorithms for the Flow Shop Scheduling Problem. – Omega, Vol. 34, 2006, No 5, pp. 461-476.10.1016/j.omega.2004.12.006]Search in Google Scholar
[20. Mitsuo, G., F. Altiparmak, L. Lin. A Genetic Algorithm for Two-Stage Transportation Problem Using Priority-Based Encoding. – OR Spectrum, Vol. 28, 2006, No 3, pp. 337-354.10.1007/s00291-005-0029-9]Search in Google Scholar
[21. Feitelson, D. G. Parallel Workload Archive, 2007. http://www.cs.huji.ac.il/labs/parallel/workload]Search in Google Scholar
[22. Kalyanmoy, D., et al. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II. – In: Proc. of International Conference on Parallel Problem Solving From Nature. Springer, Berlin, Heidelberg, 2000.]Search in Google Scholar