UGC Approved Journal no 63975(19)

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

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1906754


Registration ID:
215084

Page Number

177-182

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Title

UTKARSH SHUKLA

Abstract

Current research on cloud computing adoption has focused on identifying factors influencing cloud computing decision and testing the impact of a predefined set of factors on the intention to adopt cloud. There are various technical and economic factors governing the cloud adoption. Security, reliability, cost, virtualization, need, on demand service, maintenance, integration and user friendliness are some of the common factors. The increasing number of cloud service users renders it critical for firms to select cloud service suppliers that suit all company business strategies and goals. From the literature review, we found a lack of research addressing the interdependence of decision criteria. In this study, we address this crucial research gap by presenting an integrative research model that combines data mining techniques with hierarchical clustering to present a framework for cloud service selection and optical packet switching has a potential to be used as next generation data transfer technology.

Key Words

Migration step, cloud genius, Next generation networks, multi-criteria decision, Data Centers, Arrayed Waveguide Gratings.

Cite This Article

"UTKARSH SHUKLA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.177-182, June-2019, Available :http://www.jetir.org/papers/JETIR1906754.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

"UTKARSH SHUKLA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp177-182, June-2019, Available at : http://www.jetir.org/papers/JETIR1906754.pdf

Publication Details

Published Paper ID: JETIR1906754
Registration ID: 215084
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 177-182
Country: KANPUR NAGAR, Uttar Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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