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

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

Open Access
|Nov 2017

References

  1. 1. Mell, P., T. Grance. The NIST Definition of Cloud Computing, CSRC, US Department of Commerce. 2011.10.6028/NIST.SP.800-145
  2. 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.2008.39
  3. 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.2009.04.014
  4. 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.
  5. 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, 2010.10.1145/1890799.1890803
  6. 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.
  7. 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.2012.72
  8. 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/BF00999302
  9. 9. Panigrahy, R., K. Talwar, L. Uyeda, U. Wieder. Heuristics for Vector Bin Packing. Research. 2011. microsoft.com
  10. 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.2008.21
  11. 11. Falkenauer, E. A Hybrid Grouping Genetic Algorithm for Bin Packing. - Journal of Heuristics, Vol. 2, 1996, No 1, pp. 5-30.10.1007/BF00226291
  12. 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_5
  13. 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. 1365-1371.10.1145/1276958.1277213
  14. 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. 1-8.10.1145/1543834.1543836
  15. 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.2011.5949641
  16. 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.2011.13
  17. 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, 2016.10.1155/2016/6734161
  18. 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.2012.6377903
  19. 19. Luke, S. Essentials of Metaheuristics. Lulu, 2009. http://cs.gmu.edu/sean/book/metaheuristics/.
  20. 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.2013.02.004
  21. 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.2010.137
  22. 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.2014.0304084
  23. 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.0108275417712125251339
  24. 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-2017-0029
  25. 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-2017-0037
  26. 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.2009.5393690
  27. 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-x
  28. 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. 53-66.10.1109/4235.585892
  29. 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.11.4.358
DOI: https://doi.org/10.1515/cait-2017-0041 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 52 - 68
Published on: Nov 30, 2017
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Boominathan Perumal, M. Aramudhan, Ra K. Saravanaguru, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.