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Published in:

Volume 7 Issue 10
October-2020
eISSN: 2349-5162

Unique Identifier

JETIR2010109

Page Number

860-863

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Title

Artificial Intelligence Techniques for Load Balancing in Cloud Computing: A Review

ISSN

2349-5162

Cite This Article

"Artificial Intelligence Techniques for Load Balancing in Cloud Computing: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.860-863, October-2020, Available :http://www.jetir.org/papers/JETIR2010109.pdf

Abstract

Artificial Intelligence techniques now a day’s cover the market due to its numerous benefits. This is because many techniques are more explore when Artificial intelligence combines with it. Cloud computing is one of the most market capture techniques and it provides numerous benefits. The load balancing mechanism in Cloud needs to consider as the most important criteria because the user and service provider both benefits are involved if the Load balancing mechanism is proper. So in this paper, we provide detailed knowledge using various proposals on how the Artificial intelligence mechanism helps to improve the load balancing mechanism in Cloud Environment.

Key Words

Load Balancing, Artificial Intelligence, Machine Learning

Cite This Article

"Artificial Intelligence Techniques for Load Balancing in Cloud Computing: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp860-863, October-2020, Available at : http://www.jetir.org/papers/JETIR2010109.pdf

Publication Details

Published Paper ID: JETIR2010109
Registration ID: 302025
Published In: Volume 7 | Issue 10 | Year October-2020
DOI (Digital Object Identifier):
Page No: 860-863
ISSN Number: 2349-5162

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Cite This Article

"Artificial Intelligence Techniques for Load Balancing in Cloud Computing: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp860-863, October-2020, Available at : http://www.jetir.org/papers/JETIR2010109.pdf




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