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Business and Government Organizations' Adoption of Cloud Computing
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-3800-0757
2014 (English)In: Intelligent Data Engineering and Automated Learning – IDEAL 2014: 15th International Conference, Salamanca, Spain, September 10-12, 2014, Proceedings / [ed] Emilio Corchado; José A. Lozano; Héctor Quintián; Hujun Yin, Switzerland: Springer International Publishing , 2014, p. 492-501Conference paper, Published paper (Refereed)
Abstract [en]

Cloud computing is very much accepted and acknowledged worldwide as a promising computing paradigm. On-demand provisioning based on a pay-per-use business model helps reduce costs through sharing computing and storage resources. Although cloud computing has become popular, some business and government organizations are still lagging behind in adopting cloud computing. This study reports the status of cloud utilization among business and government organizations, and the concerns of organizations regarding the adoption of cloud computing. The study shows that some government agencies are lagging behind in cloud computing use, while others are leading the way. Security is identified as the major reason for delay in adopting cloud computing. The outcomes of the data analysis process prove that some security measures such as encryption, access authentication, antivirus protection, firewall, and service availability are required by clients for adoption of cloud computing in the future.

Place, publisher, year, edition, pages
Switzerland: Springer International Publishing , 2014. p. 492-501
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 8669
National Category
Information Systems, Social aspects
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:ltu:diva-34972DOI: 10.1007/978-3-319-10840-7_59Local ID: 94da1a65-d8cb-4869-bcfc-417623f37732ISBN: 978-3-319-10839-1 (print)ISBN: 978-3-319-10840-7 (electronic)OAI: oai:DiVA.org:ltu-34972DiVA, id: diva2:1008224
Conference
International Conference on Intelligent Data Engineering and Automated Learning : 10/09/2014 - 12/09/2014
Note
Validerad; 2015; Nivå 1; 20140604 (ismawa)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-03-09Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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More styles
Language
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Output format
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