Author(s): Amrita Sharma Rathod, Jyoti Nainani, Tejeshwani Nishad

Email(s): amrita12oct86@gmail.com , jyotinainani2403@gmail.com , tejshwanibyt@gmail.com

DOI: 10.5958/2321-581X.2020.00011.2   

Address: Amrita Sharma Rathod, Jyoti Nainani, Tejeshwani Nishad
Department Of Computer Science, Disha College Ramnagar, Kota Road Raipur (C.G).
*Corresponding Author

Published In:   Volume - 11,      Issue - 2,     Year - 2020


ABSTRACT:
A rapid growth in the development of clouds and its management through cloud computing has accelerated the research in this field. After seeing the growth we can say that the future of internet technology is totally based on cloud computing. Many resources, big data and high demand may deteriorate the service due to heavy loading of the server. This calls for the balance load on server by distributing the task to the appropriate node in the server. Cloud load - balancing is the process of distributing workloads and computing resources within a cloud technology's environment. It also helps organizations and enterprises to manage workload demands by allocating resources among multiple systems or servers. Cloud load balancing also involves hosting the distribution of workload traffic that resides over the internet. This paper presents a review and comparison of the algorithm Based on the current state of the system.


Cite this article:
Amrita Sharma Rathod, Jyoti Nainani, Tejeshwani Nishad. Load Balancing in Cloud Computing – Review. Research J. Engineering and Tech. 2020;11(2):57-61. doi: 10.5958/2321-581X.2020.00011.2


REFERENCES:
1.    Mayanka Katyal, Atul Mishra, ―A Comparative Study of Load Balancing Algorithms in Cloud Computing Environment, ‖ International Journal of Distributed and Cloud Computing, Volume 1, Issue 2, December 2013.
2.    Dharmesh Kashyap, Jaydeep Viradiya, ― A Survey of Various Load Balancing Algorithms In Cloud Computing, ‖ International Journal of Scientific & Technology Research, volume 3, issue 11, november 2014.
3.    Radojevic, B. and M. Zagar, "Analysis of issues with load balancing algorithms in hosted (cloud) environments." In proc.34th International Convention on MIPRO, IEEE, 2011.
4.    Jianzhe Tai, Juemin Zhang, Jun Li, Waleed Meleis, Ningfang Mi, ―ARA: Adaptive Resource Allocation for Cloud Computing Environments under Bursty Workloads, ‖ IEEE, 2011
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