Acceso abierto

Enhanced Evolutionary Computing Assisted Robust SLA-Centric Load Balancing System for Mega Cloud Data Centers


Cite

1. Wang, L., G. Laszewski, M. Kunze, J. Tao. Cloud Computing: A Perspective Study. – J. New Generation Computing, 2010, pp. 1-11.Search in Google Scholar

2. Beloglazov, A., R. Buyya. Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud Data Centers Under Quality of Service Constraints. – IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 24, 2013, No 7, pp. 1366-1379.10.1109/TPDS.2012.240Search in Google Scholar

3. Mell, P., T. Grance. The NIST Definition of Cloud Computing. 2009. Accessed April 2010. Http://www.wheresmyserver.co.nz/storage/media/faq-files/clouddef-v15.pdf10.6028/NIST.SP.800-145Search in Google Scholar

4. Gu, J.-H., J.-H. Hu, T.-H. Zhao, G.-F. Sun. A Scheduling Strategy on Load Balancing of Virtual Machine Resources in Cloud Computing Environment. 2010, pp. 89-96.Search in Google Scholar

5. Sahu, Y., R. Pateriya, R. K. Gupta. Cloud Server Optimization with Load Balancing and Green Computing Techniques Using Dynamic Compare and Balance Algorithm. 2013, pp. 527-531.10.1109/CICN.2013.114Search in Google Scholar

6. Barham, P., B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R. Neugebauer, I. Pratt, A. Warifield. Xen and the Art of Virtualization. – ACM SIGOPS Operating Systems Review, Vol. 37, 2003, pp. 164-177.10.1145/1165389.945462Search in Google Scholar

7. Kivity, A., Y. Kamay, D. Laor, U. Lublin, A. Liguori. KVM: The Linux Virtual Machine Monitor. – In: Proc. of Linux Symposium, No 1, 2007, pp. 255-230.Search in Google Scholar

8. Megharaj, G., K. G. Mohan. A Survey on Load Balancing Techniques in Cloud Computing. – IOSR Journal of Computer Engineering (IOSR-JCE), Vol. 18. March-April 2016, Issue 2, Ver. I. e-ISSN: 2278-0661, p-ISSN: 2278-8727.Search in Google Scholar

9. Kaur, J., S. Kinger. A Survey on Load Balancing Techniques in Cloud Computing. – International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064, Vol. 3, June 2014, Issue 6.Search in Google Scholar

10. Park, K. S., V. S. Pai. CoMon: A Mostly-Scalable Monitoring System for Planet-Lab. – ACM SIGOPS Operating Systems Review, Vol. 40, 2006, No 1, pp. 65-74.10.1145/1113361.1113374Search in Google Scholar

11. Yao, L. G. W., J. Ren, Y. Zhu, Y. Li. Guaranteeing Fault-Tolerant Requirement Load Balancing Scheme Based on VM Migration. – The Computer Journal, Vol. 57, February 2014, No 2, pp. 225-232.10.1093/comjnl/bxt012Search in Google Scholar

12. Tao, Z. L., B. Wang. Load Feedback-Based Resource Scheduling and Dynamic Migration-Based Data Locality for Virtual Hadoop Clusters in Openstack-Based Clouds. – Tsinghua Science and Technology, Vol. 22, April 2017, No 2, pp. 149-159.10.23919/TST.2017.7889637Search in Google Scholar

13. Yang, D., Y. Yang. A Load Balancing and Multi-Tenancy Oriented Data Center Virtualization Framework. – IEEE Transactions on Parallel and Distributed Systems, Vol. 28, 1 August 2017, No 8, pp. 2131-2144.10.1109/TPDS.2017.2657633Search in Google Scholar

14. Ningning, S., G. Chao, A. Xingshuo, Z. Qiang. Fog Computing Dynamic Load Balancing Mechanism Based on Graph Repartitioning. – China Communications, Vol. 13, March 2016, No 3, pp. 156-164.10.1109/CC.2016.7445510Search in Google Scholar

15. Cheng, L., F. C. M. Lau. Offloading Interrupt Load Balancing from SMP Virtual Machines to the Hypervisor. – IEEE Transactions on Parallel and Distributed Sys., Vol. 27, 1 November 2016, No 11, pp. 3298-3310.10.1109/TPDS.2016.2537804Search in Google Scholar

16. Laredo, J. L. J., F. Guinand, D. Olivier, P. Bouvry. Load Balancing at the Edge of Chaos: How Self-Organized Criticality Can Lead to Energy-Efficient Computing. – IEEE Transactions on Parallel and Distributed Systems, Vol. 28, 1 February 2017, No 2, pp. 517-529.10.1109/TPDS.2016.2582160Search in Google Scholar

17. Islam, M. A., S. Ren, G. Quan, M. Z. Shakir, A. V. Vasilakos. Water-Constrained Geographic Load Balancing in Data Centers. – IEEE Trans. on Cloud Computing, Vol. 5, April-June 2017, No 2, pp. 208-220.10.1109/TCC.2015.2453982Search in Google Scholar

18. Paya, A., D. C. Marinescu. Energy-Aware Load Balancing and Application Scaling for the Cloud Ecosystem. – IEEE Transactions on Cloud Computing, Vol. 5, January-March 2017, No 1, pp. 15-27.10.1109/TCC.2015.2396059Search in Google Scholar

19. Chen, Y. J., L. C. Wang, M. C. Chen, P. M. Huang, P. J. Chung. SDN-Enabled Traffic-Aware Load Balancing for M2M Networks. – IEEE Internet of Things Journal, Vol. 5, June 2018, No 3, pp. 1797-1806.10.1109/JIOT.2018.2812718Search in Google Scholar

20. Aslanzadeh, S., Z. Chaczko. Load Balancing Optimization in Cloud Computing: Applying Endocrine-Particale Swarm Optimization. – In: 2015 IEEE International Conference on Electro/Information Technology (EIT), Dekalb, IL, 2015, pp. 165-169.10.1109/EIT.2015.7293424Search in Google Scholar

21. Pei, Y., J. Wu, X. Wang. Virtual Machine Placement Strategy Based on Particle Swarm Optimization Algorithm. – Computer Engineering, Vol. 38, 1 2012–2 2013, No 16, p. 16.Search in Google Scholar

22. Velde, V., B. Rama. An Advanced Algorithm for Load Balancing in Cloud Computing Using Fuzzy Technique. – In: 2017 International Conference on Intelligent Computing and Control Sys., Madurai, 2017, pp. 1042-1047.10.1109/ICCONS.2017.8250624Search in Google Scholar

23. Tiwari, K., S. Joshi. Dynamic Weighted Virtual Machine Live Migration Mechanism to Manages Load Balancing in Cloud Computing. – In: 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Chennai, 2016, pp. 1-5.10.1109/ICCIC.2016.7919581Search in Google Scholar

24. Lagwal, M., N. Bhardwaj. Load Balancing in Cloud Computing Using Genetic Algorithm. – In: 2017 International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, 2017, pp. 560-565.10.1109/ICCONS.2017.8250524Search in Google Scholar

25. Makasarwala, H. A., P. Hazari. Using Genetic Algorithm for Load Balancing in Cloud Computing. – 2016 8th International Conference on Electronics, Computers and Artificial Intelligence, Ploiesti, 2016, pp. 1-6.10.1109/ECAI.2016.7861166Search in Google Scholar

eISSN:
1314-4081
Idioma:
Inglés
Calendario de la edición:
4 veces al año
Temas de la revista:
Computer Sciences, Information Technology