References
- 1. Chamas, N., F. Lopez-Pires, B. Baran. Two-Phase Virtual Machine Placement Algorithms for Cloud Computing: An Experimental Evaluation under Uncertainty. – IEEE Conference, 2017.10.1109/CLEI.2017.8226393
- 2. Uddin, M., A. A. Rehman. Server Consolidation: An Approach to Make Data Centers Energy Efficient and Green. – International Journal of Scientific and Engineering Research, Vol. 1, 2010, Issue 1.10.14299/ijser.2010.01.002
- 3. Ali, H. M., D. C. Lee. A Biogeography-Based Optimization Algorithm for Energy Efficient Virtual Machine Placement. – IEEE Symposium on Swarm Intelligence, 2014.10.1109/SIS.2014.7011800
- 4. Panigrahy, R., K. Talwar, L. Uyeda, U. Wieder. Heuristics for Vector Bin Packing, 2011.
- 5. Agrawal, S., S. Bose, S. Sundarrajan. Grouping Genetic Algorithm for Solving the Server Consolidation Problem with Conflicts. Genetics and Evolutionary Computation. – In: Proc. of 1st ACM/SIGEVO Summit, ACM, 2009.10.1145/1543834.1543836
- 6. Ali, R., Y. Shen, X. Huang, J. Zhang, A. Ali. VMR: Virtual Machine Replacement Algorithm for QoS and Energy-Awareness in Cloud Data Centers. – In: IEEE International Conference on Computational Science and Engineering, 2017.
- 7. Liu, X., Z. Zhan, J. D. Deng, Y. Li, T. Gu, J. Zhang. An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing. – IEEE Transactions on Evolutionary Algortihm, Vol. 22, 2018, Issue 1.10.1109/TEVC.2016.2623803
- 8. Dorterler, S., M. Dorterler, S. Ozdemir. Multi-Objective Virtual Machine Placement Optimization for Cloud Computing. – In: IEEE International Symposium on Networks, Computers and Communication, 2017.10.1109/ISNCC.2017.8072013
- 9. Sotomayor, B. Provisioning Computational Resources Using Virtual Machines and Leases. PhD Thesis Submitted to the University of Chicago, USA, 2010.
- 10. Kansal, N. J., I. Chana. Energy-Aware Virtual Machine Migration for Cloud Computing – A Firefly Optimization Approach. – Journal of Grid Computing, SpringerLink, Vol. 14, 2016, Issue 2, pp. 327-345.10.1007/s10723-016-9364-0
- 11. Zhou, A., S. Wang, B. Cheng, Z. Zheng, F. Yang, R. N. Chang, M. R. Lyu, Rajkumar Buyya. Cloud Service Reliability Enhancement via Virtual Machine Placement Optimization. – IEEE Transactions on Services Computing, Vol. 10, 2017, No 6.10.1109/TSC.2016.2519898
- 12. Fu, X., C. Zhou. Predicted Affinity Based Virtual Machine Placement in Cloud Computing Environments. – IEEE Transaction on Cloud Computing, Vol. 13, 2014, No 9.
- 13. Khosravi, A., L. L. H. Andrew, Rajkumar Buyya. Dynamic VM Placement Method for Minimizing Energy and Carbon Cost in Geographically Distributed Cloud Data Centers. – IEEE Transactions on Sustainable Computing, Vol. 2, 2017, No 2.10.1109/TSUSC.2017.2709980
- 14. Gao, Y., H. Guan, Z. Qi, Y. Hou, L. Liu. A Multi-Objective Ant Colony System Algorithm for Virtual Machine Placement in Cloud Computing. – Journal of Computer and System Sciences, Vol. 79, 2013, No 8, pp. 1230-1242.10.1016/j.jcss.2013.02.004
- 15. Kumar, D., Dr. Tarni Mandal. Bi-Objective Virtual Machine Placement Using Hybrid of Genetic Algorithm and Particle Swarm Optimization in Cloud Data Center. – International Journal of Applied Engineering Research, Vol. 12, 2017, No 22, pp. 12044-12051. ISSN 0973-4562.
- 16. Zhang, J., X. Wang, H. Huang, S. Chen. Clustering Based Virtual Machines Placement in Distributed Cloud Computing. – Future Generation Computer Systems, Elsevier, Vol. 66, 2017, pp.1-10.10.1016/j.future.2016.06.018
- 17. Barlaskar, E., N. Ajith Singh, Yumnum, Y. J. Singh. Energy Optimization Methods for Virtual Machine Placement in Cloud Data Center, ADBU. – Journal of Engineering and Technology, 2014.
- 18. Tawfeek, M. A., A. B. El-Sisi, A. E. Keshk, F. A. Torkey. Virtual Machine Placement Based on Ant Colony Optimization for Minimizing Resource Wastage. – In: International Conference on Advanced Machine Learning Technologies and Applications (AMLTA’14), 2014, p.153.10.1007/978-3-319-13461-1_16
- 19. Alboaneen, D. A., H. Tianfield, Y. Z. Glasgow. Glowworm Swarm Optimization Algorithm for Virtual Machine Placement in Cloud Computing. – In: Proc. of IEEE International Conference on Cloud and Big Data Computing, 2016, pp. 808-814.10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0129
- 20. Speitkamp, B., M. Bichler. A Mathematical Programming Approach for Server Consolidation Problems in Virtualized Data Centers. – IEEE Transactions on Services Computing, 2010, pp. 266-278.10.1109/TSC.2010.25
- 21. Sait, S. M., A. Bala, A. H. El-Maleh. Cuckoo Search Based Resource Optimization of Datacenters. – Applied Intelligence, 2015, pp. 1-18.10.1007/s10489-015-0710-x
- 22. Riquelme, N., C. V. Lucken, B. Baran. Performance Metrics in Multi-Objective Optimization. – In: IEEE Latin American Computing Conference, 2015.10.1109/CLEI.2015.7360024
- 23. Wu, G., M. Tang, Y. C. Tian, W. Li. Energy Efficient Virtual Machine Placement in Data Centers by Genetic Algorithm. – In: International Conference on Neural Information Processing (ICONIP), Neural Information Processing, 2012, pp. 315-323.10.1007/978-3-642-34487-9_39
- 24. Zhao, L., L. Lu, Z. Jin, C. Yu. Online Virtual Machine Placement for Increasing Cloud Provider’s Revenue. – IEEE Transactions on Services Computing, Vol. 10, 2017, No 2.10.1109/TSC.2015.2447550
- 25. Shabeera, T. P., S. D. Madhukumar, S. M. Salam, K. Muralikrishnan. Optimizing VM Allocation and Data Placement for Data-Intensive Applications in Cloud Using ACO Metaheuristic Algorithm. – International Journal of Engineering Science and Technology, Vol. 20, 2017, Issue 2, pp. 616-628.10.1016/j.jestch.2016.11.006
- 26. Gagwero, M. G., L. Caviglione. Model Predictive Control for Energy Efficient, Quality-Aware Virtual Machine Placement. – IEEE Transactions on Automation Science and Engineering, 2018, Issue 1, pp. 1-13.10.1109/TASE.2018.2826723
- 27. Jing, H. Z., W. F. Liu, Q. Wang, W. Zhang, Q. Zheng. Power-Aware and Performance – Guaranteed Virtual Machine Placement in the Cloud. – IEEE Transactions on Parallel and Distributed Systems, Vol. 29, 2018, No 6.10.1109/TPDS.2018.2794369
- 28. Hung, N. Q., P. D. Nien, N. H. Nam, N. H. Tuong, N. Thoai. A Genetic Algorithm for Power-Aware VirtuaMachine Allocation in Private Cloud. – Lecture Notes in Computer Science, Vol. 7804, 2013.
- 29. Sarvesh, Kumar. Discrete Gravitational Search Algorithm for Virtual Machine Placement in Cloud Computing. – International Journal of Pure and Applied Mathematics, Vol. 117, 2017, No 19, pp. 337-342.
- 30. Boominathan, P., M. Aramudan, Ra. K. Saravanaguru. Fuzzy Bio-Inspired Hybrid Techniques for Server Consolidation and Virtual Machine Placement in Cloud Environment. – Cybernetics and Information Technologies, Vol. 17, 2017, No 4, pp. 52-68.10.1515/cait-2017-0041
- 31. Mirjalili, S., S. M. Mirjalili, A. Lewis. Grey Wolf Optimizer. – Journal in Advances in Engineering Software, Vol. 69, 2014, pp. 46-61, ScienceDirect.10.1016/j.advengsoft.2013.12.007
- 32. Joshi, S., J. C. Bansal. Grey Wolf Gravitational Search Algorithm. – International Workshop on Computational Intelligence (IWCI), IEEE, 2016.10.1109/IWCI.2016.7860371
- 33. Maryuma, K., S. K. Chang, D. T. Tang. A General Packing Algorithm for Mutidimensional Resource Requirements. – International Journal of Computer and Information Sciences, Vol. 6, 1977, Issue 2, pp. 131-149.10.1007/BF00999302
- 34. Rodriguez, L., O. Castillo, J. Soria. Grey Wolf Optimizer with Dynamic Adaptation Parameters Using Fuzzy Logic. – In: IEEE Congress on Evolutionary Computation(CEC), 2016.10.1109/CEC.2016.7744183
- 35. Mirjalili, S., S. Saremi, S. M. Mirjalili, L. S. Coelho. Multiobjective Grey Wolf Optimizer: A Novel Algorithm for Multi-Criterion Optimization. – Elsevier Journal of Expert Systems with Applications, 2015.10.1016/j.eswa.2015.10.039