1
Faculty of Computers and Informatics, Zagazig University, Zagazig 44519, Sharqiyah, Egypt
(aabdelmounem@zu.edu.eg)
Abstract :
With the widespread use of distributed alternative energy sources, electric cars, energy storage systems, and technologies like Cloud Computing (CC), Big Data, and the IoT, energy management in CC contexts has developed. Concerns about the Energy Cloud's performance goals are presented in this fashion as a major development point (EC). The aims of this essay include identifying key FPVs and how they relate to issues in EC, as well as formulating an approach to overseeing the growth and maturity of EC settings. Through literature research, FPVs were identified as well as their influence on each other.
It was determined that those FPVs were an important, secondary, motivational factor, and independent voters by using the AHP approach. An all-encompassing management model for EC is presented in the article, and it can be used as a compass for making strategic choices on technical, organizational, commercial, and regulatory matters. This model may be tailored to the specifics of the business landscape and its breadth.
Keywords :
AHP; Cloud Computing; IoT; Big Data; MCDM
References :
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factors for energy management in the Swedish pulp and paper industry,” Journal of cleaner production,
vol. 223, pp. 67–82, 2019.
[2] S. F. Hazudin, M. A. R. A. Kader, N. H. Tarmuji, M. Ishak, and R. Ali, “Discovering small business
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31, pp. 436–443, 2015.
[3] S. Aparcana, “Approaches to formalization of the informal waste sector into municipal solid waste
management systems in low-and middle-income countries: Review of barriers and success factors,”
Waste management, vol. 61, pp. 593–607, 2017.
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consumption housing. A comparative study in three European countries,” Act, 2009.
[5] R. Hill, P. I. Pert, J. Davies, F. J. Walsh, and F. Falco-Mammone, Indigenous land management in
Australia: extent, scope, diversity, barriers and success factors. Citeseer, 2013.
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psychology, vol. 15, no. 3, pp. 234–281, 1977.
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| Style | # |
|---|---|
| MLA | Ahmed Abdelmonem. "Development of the hybrid MCDM model for cloud computing adoption strategic management." Fusion: Practice and Applications, Vol. 3, No. 2, 2021 ,PP. 73-82 (Doi : https://doi.org/10.54216/FPA.030203) |
| APA | Ahmed Abdelmonem. (2021). Development of the hybrid MCDM model for cloud computing adoption strategic management. Journal of Fusion: Practice and Applications, 3 ( 2 ), 73-82 (Doi : https://doi.org/10.54216/FPA.030203) |
| Chicago | Ahmed Abdelmonem. "Development of the hybrid MCDM model for cloud computing adoption strategic management." Journal of Fusion: Practice and Applications, 3 no. 2 (2021): 73-82 (Doi : https://doi.org/10.54216/FPA.030203) |
| Harvard | Ahmed Abdelmonem. (2021). Development of the hybrid MCDM model for cloud computing adoption strategic management. Journal of Fusion: Practice and Applications, 3 ( 2 ), 73-82 (Doi : https://doi.org/10.54216/FPA.030203) |
| Vancouver | Ahmed Abdelmonem. Development of the hybrid MCDM model for cloud computing adoption strategic management. Journal of Fusion: Practice and Applications, (2021); 3 ( 2 ): 73-82 (Doi : https://doi.org/10.54216/FPA.030203) |
| IEEE | Ahmed Abdelmonem, Development of the hybrid MCDM model for cloud computing adoption strategic management, Journal of Fusion: Practice and Applications, Vol. 3 , No. 2 , (2021) : 73-82 (Doi : https://doi.org/10.54216/FPA.030203) |