Business and government organizations' adoption of cloud computing

Bilal Charif, Ali Ismail Awad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationIntelligent Data Engineering and Automated Learning, IDEAL 2014 - 15th International Conference, Proceedings
EditorsEmilio Corchado, Héctor Quintián, José A. Lozano, Hujun Yin
PublisherSpringer Verlag
Number of pages10
ISBN (Electronic)9783319108391
ISBN (Print)9783319108391
Publication statusPublished - 2014
Externally publishedYes
Event15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014 - Salamanca, Spain
Duration: Sept 10 2014Sept 12 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8669 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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