State-of-the-Art Dynamic Load Balancing Algorithms for Cloud Computing
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Published
Nov 5, 2021
Meena Rani
Kalpna Guleria
Surya Narayan Panda
Abstract
Cloud computing is a technological commitment that allows it to achieve a set goal, improving business performance. Cloud computing offers many applications like scalability, extensive infrastructure, storage, resource pooling, virtualization, and a wide range of online services. Cloud service providers provide a variety of technologies to cloud computing users all the time. Load balancing algorithms are used to improve the performance and speed of nodes in cloud environments and protect each device from affecting their threshold by reducing their performance. Classification of load balancing algorithms was based on two factors, i.e., the state of the system and the person who initiated the process. The dynamic load balancing algorithms are based on challenges like high availability, scalability, fault tolerance, virtual machine migration, low response time. Dynamic load balancing algorithms apply some policies because they use the current state of a system. This paper describes the study of the different dynamic load balancing algorithms in the cloud environment, as well as their comparison, which is based on different load balancing systems.
How to Cite
Meena Rani, Guleria, K. ., & Panda, S. N. . (2021). State-of-the-Art Dynamic Load Balancing Algorithms for Cloud Computing. SPAST Abstracts, 1(01). Retrieved from https://spast.org/techrep/article/view/3202
Article Details
Keywords
Cloud Computing, Load Balancing, Dynamic Load Balancing Algorithms, Load Balancing Metrics
References
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5. Kanakala, V.R.T., Reddy, V.K., 2015b. Performance analysis of load balancing techniques in cloud computing environment. TELKOMNIKA Indones. J. Electr. Eng. 13 (3), 568–573.
6. Farrag, A.A.S., Mahmoud, S.A., 2015. Intelligent Cloud Algorithms for Load Balancing problems: A Survey. IEEE Proceedings of the Seventh International Conference on Intelligent Computing and Information Systems (ICICIS 'J 5), 210-216.
2. Rahman, Mazedur, Samira Iqbal, and Jerry Gao. "Load Balancer as a Service in Cloud Computing." In Service Oriented System Engineering (SOSE), 2014 IEEE 8th International Symposium on, pp. 204-211.
3. Milani, A.S., Navimipour, N.J., 2016. Load balancing mechanisms and techniques in the cloud environments: systematic literature review and future trends. J. Netw. Comput. Appl. 71, 86–98.
4. Kanakala, V.R.T., Reddy, V.K., 2015a. Performance analysis of load balancing techniques in cloud computing environment. TELKOMNIKA Indones. J. Electr. Eng. 13 (3), 568–573.
5. Kanakala, V.R.T., Reddy, V.K., 2015b. Performance analysis of load balancing techniques in cloud computing environment. TELKOMNIKA Indones. J. Electr. Eng. 13 (3), 568–573.
6. Farrag, A.A.S., Mahmoud, S.A., 2015. Intelligent Cloud Algorithms for Load Balancing problems: A Survey. IEEE Proceedings of the Seventh International Conference on Intelligent Computing and Information Systems (ICICIS 'J 5), 210-216.
Section
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