UGC Approved Journal no 63975(19)

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

Volume 9 Issue 3
March-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2203168


Registration ID:
321009

Page Number

b521-b526

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Title

Cloud Resource Optimizer and Recommendation: A Survey

Abstract

The use of Cloud Computing Services offers significant cost advantages for both the enterprises and end-users. Particularly start-up companies benefit from these advantages; meanwhile often they do not operate an internal IT infrastructure. But are costs associated with cloud computing services are very high as most of them not used in an optimal way. So there is the need for the system/ tool that can give the solution for the most favourable usage of cloud resources to reduce the infrastructure cost on the private clouds like Amazon or Google as big companies are investing billions of money in buying cloud infrastructure. This paper gives a survey of different techniques used by the researchers for price reduction strategy and abstract view of the proposed system that we are going to implement to reduce the infrastructure cost of cloud usage and evaluate the performance of workloads on EC2 instances.

Key Words

Cloud Computing, Cloud Resource Optimizer, Cost Advantages, Private Clouds, Performance Evaluation, Price Reduction

Cite This Article

"Cloud Resource Optimizer and Recommendation: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.b521-b526, March-2022, Available :http://www.jetir.org/papers/JETIR2203168.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

"Cloud Resource Optimizer and Recommendation: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppb521-b526, March-2022, Available at : http://www.jetir.org/papers/JETIR2203168.pdf

Publication Details

Published Paper ID: JETIR2203168
Registration ID: 321009
Published In: Volume 9 | Issue 3 | Year March-2022
DOI (Digital Object Identifier):
Page No: b521-b526
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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