Cloud computing financial & cost analysis; A case study of Saudi government agencies

Research output: A Conference proceeding or a Chapter in BookConference contribution

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Abstract

Cloud computing is an innovation in world technology. It is used to provide organization services as a utility service through internet and innovative uptake of cloud for improved effectiveness and efficiency. There is an absence of academic studies about the financial feasibility and implementation cost to uptake of cloud by government agencies. This paper seeks to identify the cloud computing financial indicators and implementation cost variables which are relevant to public organizations. The proposed model consists of Saudi case study findings based on analysis of evidence from Saudi government organization. Random samples from different categories in professionalism in Saudi Arabia participated in the questionnaire to extract and confirm financial indicators and implementation cost variables. The results indicate a return on investment (ROI) and total cost ownership (TCO) are the main financial indicators to study cloud adoption. Also, data centre variable and fixed cost parameters play the main role to calculate cloud implementation cost.

Original languageEnglish
Title of host publicationCLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science
PublisherScitepress
Pages459-466
Number of pages8
ISBN (Electronic)9789897582431
ISBN (Print)9789897582431
DOIs
Publication statusPublished - 1 Jan 2017
Event7th International Conference on Cloud Computing and Services Science, CLOSER 2017 - Porto, Portugal
Duration: 24 Apr 201726 Apr 2017

Publication series

NameCLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science

Conference

Conference7th International Conference on Cloud Computing and Services Science, CLOSER 2017
CountryPortugal
CityPorto
Period24/04/1726/04/17

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Cloud computing
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Innovation
Internet

Cite this

Mreea, M., Munasinghe, K., & Sharma, D. (2017). Cloud computing financial & cost analysis; A case study of Saudi government agencies. In CLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science (pp. 459-466). (CLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science). Scitepress. https://doi.org/10.5220/0006300804590466
Mreea, Mohammed ; Munasinghe, Kumudu ; Sharma, Dharmendra. / Cloud computing financial & cost analysis; A case study of Saudi government agencies. CLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science. Scitepress, 2017. pp. 459-466 (CLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science).
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Mreea, M, Munasinghe, K & Sharma, D 2017, Cloud computing financial & cost analysis; A case study of Saudi government agencies. in CLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science. CLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science, Scitepress, pp. 459-466, 7th International Conference on Cloud Computing and Services Science, CLOSER 2017, Porto, Portugal, 24/04/17. https://doi.org/10.5220/0006300804590466

Cloud computing financial & cost analysis; A case study of Saudi government agencies. / Mreea, Mohammed; Munasinghe, Kumudu; Sharma, Dharmendra.

CLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science. Scitepress, 2017. p. 459-466 (CLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science).

Research output: A Conference proceeding or a Chapter in BookConference contribution

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Mreea M, Munasinghe K, Sharma D. Cloud computing financial & cost analysis; A case study of Saudi government agencies. In CLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science. Scitepress. 2017. p. 459-466. (CLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science). https://doi.org/10.5220/0006300804590466