UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

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

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2010109


Registration ID:
302025

Page Number

860-863

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Title

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

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), ISSN:2349-5162, Vol.7, Issue 10, page no.860-863, October-2020, Available :http://www.jetir.org/papers/JETIR2010109.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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
Country: MAHESANA, GUJARAT, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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