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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM15174

Load Balancing Techniques in Cloud Computing

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM15174

Volume:

6 |

6 |

Jun 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM15174

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SA

Swati Agrahari

SC

Sapna Choudhary

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Abstract

Cloud computing is a rapidly expanding field of computing science and industry today, with numerous advantages including reduced time, limitless computing capacity, and versatile computing capabilities. It’s a model that allows users to connect to a common pool of computing resources on demand. It encompasses a wide range of principles, including load balancing, scheduling, and so on. From the convergence and evolution of industry, technology, and methodology perspectives, cloud computing as computing resources developed as a new kind of service in the field of communication and information technology that enables and furnishes its users to access IT resources anywhere and anytime at low cost on a pay-per-use basis. The resources over cloud must be handled and controlled by an appropriate mechanism by setting the priorities on the available cloud resources which are shared among its users. To overcome these challenges, this paper conducts a systematic literature review on load balancing algorithms and challenges in cloud computing for one of the most important cloud resources, the Virtual Machine over Cloud environment.

KEYWORDS

Cloud Computing Load Balancing Existing load balancing algorithms.

Cite This Article

Swati Agrahari, Sapna Choudhary, "Load Balancing Techniques in Cloud Computing," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 6, Jun 2022. https://doi.org/10.55041/IJSREM15174

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Publication Date

6/28/2022

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Double-Blind Peer Review

Review Rounds: 2

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