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Leveraging Artificial Intelligence for Sustainable Cloud Computing: Transitioning from Physical to Virtual Machines |
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PP: 141-148 |
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doi:10.18576/amis/190112
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Author(s) |
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Yehia Aldaaja,
Eyad A. Shaban,
Mahmoud Odeh,
Mohammad Sabri,
Najlaa Flayyih,
Ghassan Samara,
Hala Alsabatin,
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Abstract |
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| The purpose of this research is to find out how cloud computing infrastructures may be made more sustainable by using AI. As a more popular alternative to traditional server hardware, cloud computing is having far-reaching effects on many subfields of information technology. It has a great deal of promise for enhancing the quality and efficiency of manufacturing processes. Nevertheless, there is a dearth of research on the first phases of cloud computing deployment in Jordan’s manufacturing sector, according to a survey of the relevant literature. Businesses in Jordan may soon be moving away from using physical equipment and toward using virtual ones, thanks to cloud computing. Consequently, this research suggests an adoption framework that was created and tested with the help of three Jordanian companies. Two focus groups, semi-structured interviews, and yearly reports were among the many sources used to compile the qualitative data used in this interpretative method. Virtualization technology, price, pricing, physical resource availability, team expertise, and the migration process are some of the important aspects that this report identifies as potentially impacting cloud adoption.
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