Load Balancing Using Swarm Intelligence in Cloud Environment
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2644-8_10
Reference27 articles.
1. Raghav, Y.Y., Vyas, V., Rani, H.: Load balancing using dynamic algorithms for cloud environment: a survey. Mater. Today: Proc. 69, 349–353 (2022)
2. Arulkumar, V., Bhalaji, N.: Performance analysis of nature inspired load balancing algorithm in cloud environment. J. Ambient Intell. Humanized Comput. (2020)
3. Raghav, Y.Y., Vyas, V.: A comparative analysis of different load balancing algorithms on different parameters in cloud computing. In: 2019 3rd International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE), pp. 628–634. IEEE (2019)
4. Dam, S., Mandal, G., Dasgupta, K., Dutta, P.: An ant colony based load balancing strategy in cloud computing. In: Advanced Computing, Networking and Informatics-Volume 2: Wireless Networks and Security Proceedings of the Second International Conference on Advanced Computing, Networking and Informatics (ICACNI-2014), pp. 403–413. Springer International Publishing (2014)
5. Xu, P., He, G., Li, Z., Zhang, Z.: An efficient load balancing algorithm for virtual machine allocation based on ant colony optimization. Int. J. Distrib. Sens. Netw.Distrib. Sens. Netw. 14(12), 1550147718793799 (2018)
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