Fuzzy Bio-Inspired Hybrid Techniques for Server Consolidation and Virtual Machine Placement in Cloud Environment

1. Mell, P., T. Grance. The NIST Definition of Cloud Computing, CSRC, US Department of Commerce. 2011.10.6028/NIST.SP.800-145Search in Google Scholar

2. Gupta, R., S. K. Bose, S. Sundarrajan, M. Chebiyam, A. Chakrabart i. A Two Stage Heuristic Algorithm for Solving the Server Consolidation Problem with Item-Item and Bin-Item Incompatibility Constraints. -Proc. of IEEE International Conference on Services Computing, Vol. 2, 2008, pp. 39-46.10.1109/SCC.2008.39Search in Google Scholar

3. Wood, T., P. Shenoy, A. Venkataramani, M. Yousif. Sandpiper: Black-Box and Gray- Box Resource Management for Virtual Machines. - Computer Networks, Vol. 53, 2009, No 17, pp. 2923-2938.10.1016/j.comnet.2009.04.014Search in Google Scholar

4. Mishra, M., A. Sahoo. On Theory of VM Placement: Anomalies in Existing Methodologies and Their Mitigation Usinga Novel Vector Based Approach. - In: Proc. of IEEE International Conference on Cloud Computing (CLOUD’11), 2011, pp. 275-282.Search in Google Scholar

5. Beloglazov, A., R. Buyya. Adaptive Threshold-Based Approach for Energy-Efficient Consolidation of Virtual Machines in Cloud Data Centers. - In: Proc. of 8th International Workshop on Middleware for Grids, Clouds and e-Science, ACM, Vol. 4, 2010.10.1145/1890799.1890803Search in Google Scholar

6. Li, B., J. Li, J. Huai, T. Wo, Q. Li, L. Zhong. Enacloud: An Energy-Saving Application Live Placement Approach for Cloud Computing Environments. - In: Proc. of IEEE International Conference on Cloud Computing, 2009, pp. 17-24.Search in Google Scholar

7. Li, X., Z. Qian, Z., R. Chi, B. Zhang, S. Lu. Balancing Resource Utilization for Continuous Virtual Machine Requests in Clouds. - In: Proc. of 6th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), IEEE, 2012, pp. 266-273.10.1109/IMIS.2012.72Search in Google Scholar

8. Maruyama, K., S. K. Chang, D. T. Tang. A General Packing Algorithm for Multidimensional Resource Requirements. - International Journal of Computer & Information Sciences, Vol. 6, 1977, No 2, pp. 131-149.10.1007/BF00999302Search in Google Scholar

9. Panigrahy, R., K. Talwar, L. Uyeda, U. Wieder. Heuristics for Vector Bin Packing. Research. 2011. microsoft.comSearch in Google Scholar

10. Jung, G., K. R. Joshi, M. A. Hiltunen, R. D. Schlichting, C. Pu. Generating Adaptation Policies for Multi-Tier Applications in Consolidated Server Environments. - In: Proc. of International Conference on Autonomic Computing, 2008, pp. 23-32.10.1109/ICAC.2008.21Search in Google Scholar

11. Falkenauer, E. A Hybrid Grouping Genetic Algorithm for Bin Packing. - Journal of Heuristics, Vol. 2, 1996, No 1, pp. 5-30.10.1007/BF00226291Search in Google Scholar

12. Brugger, B., K. F. Doerner, R. F. Hartl, M. Reiman n. Antpacking-An Ant Colony Optimization Approach for the One-Dimensional Bin Packing Problem. - In: Proc. of Evolutionary Computation in Combinatorial Optimization. Springer, 2004, pp. 41-50.10.1007/978-3-540-24652-7_5Search in Google Scholar

13. Rohlfshagen, P., J. A. Bullinaria. A Genetic Algorithm with Exon Shuffling Crossover for Hard Bin Packing Proble Ms. - In: Proc. of 9th Annual Conference on Genetic and Evolutionary Computation, ACM, 2007, pp. 1365-1371.10.1145/1276958.1277213Search in Google Scholar

14. Agrawal, S., S. K. Bose, S. Sundarraja n. Grouping Genetic Algorithm for Solving theServer Consolidation Problem with Conflicts. - In: Proc. of 1st ACM/SIGEVO Summit on Genetic and Evolutionary Computation, ACM, June 2009, pp. 1-8.10.1145/1543834.1543836Search in Google Scholar

15. Wilcox, D., A. Mc Nabb, K. Seppi. Solving Virtual Machine Packing witha Reordering Grouping Genetic Algorithm. - In: Proc. of 2011 IEEE Congress on Evolutionary Computation, 2011, pp. 362-369.10.1109/CEC.2011.5949641Search in Google Scholar

16. Feller, E., L. Rilling, C. Mori n. Energy-Aware Ant Colony Based Workload Placement in Clouds. - In: Proc. of 12th International Conference on Grid Computing IEEE/ACM, 2011, pp. 26-33.10.1109/Grid.2011.13Search in Google Scholar

17. Perumal, B., A. Murugaiyan. A Firefly Colony and Its Fuzzy Approach for Server Consolidation and Virtual Machine Placement in Cloud Datacenters. - Advances in Fuzzy Systems, 2016.10.1155/2016/6734161Search in Google Scholar

18. Wu, Y., M. Tang, W. Fraser. A Simulated Annealing Algorithm for Energy Efficient VirtualMachine Placement. - In: Proc. of IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012, pp. 1245-1250.10.1109/ICSMC.2012.6377903Search in Google Scholar

19. Luke, S. Essentials of Metaheuristics. Lulu, 2009. http://cs.gmu.edu/sean/book/metaheuristics/.Search in Google Scholar

20. 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.2013.02.004Search in Google Scholar

21. Xu, J., J. A. Fortes. Multi-Objective Virtual Machine Placement in Virtualized Data Center Environments. - In: Green Computing and Communications (Green Com), IEEE/ACM International Conference on & International Conference on Cyber, Physical and Social Computing, 2010, pp. 179-188.10.1109/GreenCom-CPSCom.2010.137Search in Google Scholar

22. Suseela, B. B. J., V. Jeyakrishnan. A Multi-Objective Hybrid ACO-PSO Optimization Algorithm for Virtual Machine Placement in Cloud Computing. - Int. J. Res. Eng. Technol., Vol. 3, 2014, No 4, pp. 474-476.10.15623/ijret.2014.0304084Search in Google Scholar

23. Zhao, J., L. Hu, Y. Ding, G. Xu, M. Hu. A Heuristic Placement Selection of Live Virtual Machine Migration for Energy-Saving in Cloud Computing Environment. Plo S One, Vol. 9, 2014, No 9, e108275.10.1371/journal.pone.0108275417712125251339Search in Google Scholar

24. Nguyen, M. N. P., V. S. Le, H. H. C. Nguyen. - Energy Efficient Resource Allocation for Virtual Services Based on Heterogeneous Shared Hosting Platforms in Cloud Computing. - Cybernetics and Information Technologies, Vol. 17, 2017, No 3, pp. 47-58.10.1515/cait-2017-0029Search in Google Scholar

25. Sanyasi Naidu, P., B. Bhagat. Emphasis on Cloud Optimization and Security Gaps: A Literature Review. - Cybernetics and Information Technologies, Vol. 17, 2017, No 3, pp. 165-185.10.1515/cait-2017-0037Search in Google Scholar

26. Yang, X. S., S. Deb. Cuckoo Search Via Lévy Flights. - In: Proc. of World Congress on IEEE Nature & Biologically Inspired Computing, Na BIC’09, 2009, pp. 210-214.10.1109/NABIC.2009.5393690Search in Google Scholar

27. 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-xSearch in Google Scholar

28. Dorigo, M., L. M. Gambardell a. Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem. - IEEE Transactions on Evolutionary Computation, Vol. 1, 1997, No 1, pp. 53-66.10.1109/4235.585892Search in Google Scholar

29. Maniezzo, V. Exact and Approximate Nondeterministic Tree-Search Procedures for the Quadratic Assignment Problem. - INFORMS Journal On Computing, Vol. 11, 1999, No 4, pp. 358-369.10.1287/ijoc.11.4.358Open DOISearch in Google Scholar