Cloud Computing and Artificial Intelligence: A Scoping Literature Review
Keywords:
Cloud Computing، Artificial Intelligence, AI CloudAbstract
In the past two decades, Cloud Computing (CC) and Artificial Intelligence (AI) technologies have witnessed amazing growth, and the majority of organizations and companies around the world have become more aware of the importance of these technologies. AI and CC together are often referred to as the "AI cloud". Using AI in the cloud can improve cloud performance and efficiency while driving digital transformation in enterprises and making business operations more efficient and strategic, while also providing additional flexibility, agility, and cost savings. As a result, AI helps make the complex processes of the AI cloud better. Academics from different fields of expertise try to solve cloud-related problems; there are an increasing number of studies underway in CC service formation and AI applications. This paper will discuss some theoretical points of view, the impact of using AI in the cloud field, and discover the most important AI techniques used to find solutions to various challenges related to the cloud.
References
J Russell, Stuart, and Peter Norvig. "Artificial Intelligence A Modern Approach Third
Edition.", 2010. Upper Saddle River, NJ, Prentice Hall.
Alpaydin, Ethem. Introduction to machine learning, 2020. MIT press: Cambridge, MA, USA.
Mell, Peter, and Tim Grance. "The NIST definition of cloud computing." , 2011. Gaithersburg,
MD. National Institute of Standards and Technology.
Qian, Ling, et al. "Cloud computing: An overview." Cloud Computing: First International
Conference, CloudCom 2009, Beijing, China, December 1-4, 2009. Proceedings 1. Springer
Berlin Heidelberg.
Poniszewska-Marańda, Aneta. "Selected aspects of security mechanisms for cloud
computing–current solutions and development perspectives.", 2014. In Journal of Theoretical
and Applied Computer Science (Vol. 8, Issue 1). Available online :http://www.jtace.org.
Kuyoro, S. O., F. Ibikunle, and O. Awodele. "Cloud computing security issues and
challenges.",2011. International Journal of Computer Networks (IJCN) 3.5 (2011): 247-255.
Strong, A. I. "Applications of artificial intelligence & associated technologies.", 5-6 March
In Proceedings of the International Conference on Emerging Technologies (AI) White
paper. Biomedical, Management and Science [ETEBMS- 2016], Jodhpur, India.
Sarker, Iqbal H. "Ai-based modeling: Techniques, applications and research issues towards
automation, intelligent and smart systems.", 2022. SN Computer Science 3.2 2022: 158.
Abdalla, Peshraw Ahmed, and Asaf Varol. "Advantages to disadvantages of cloud
computing for small-sized business." 2019 7th International Symposium on Digital Forensics
and Security (ISDFS). IEEE, 2019.
Bhbosale, Sachin, Vinayak Pujari, and Zameer Multani. "Advantages And Disadvantages Of
Artificial Intelligence.", 2020. Aayushi International Interdisciplinary Research Journal 77.
: 227-230.
Li, Zhujun. "Discussion on the Integration and Application of Artificial Intelligence, Big
Data
and Cloud Computing.",2021. Journal of Frontiers of Society, Science and Technology 1.5.
: 37-44.
Ali, A., Jamil, F., Jamil, H., Kirichek, R., Muthanna, M. S. A., & Ammi, M. AI-Enabled Cloud
Security Based on Organized Identity System. 2022.
Xu, Yang, et al. "An intelligent load balancing algorithm towards efficient cloud
computing.",
Proceedings of the 8th AAAI Conference on AI for Data Center Management and Cloud
Computing.
K. L. Neela, R. K. Ramesh, A. Kabeer Mohamed Refai, 2013, Robot Implementation In
Education With Ai And Cloud Computing, April 2013. International Journal of Engineering
Research & Technology (IJERT) Volume 02, Issue 04.
Wukkadada, Bharati, and Vincy P. Saiswani. "Online Healthcare System Using Cloud
Computing and Artificial Intelligence.", 2000. IOSR Journal of Computer Engineering 20.
: S40-S3.
Zheng, Jianbo, et al. "Cognition-based context-aware cloud computing for intelligent robotic
systems in mobile education." IEEE Access 6. 2018: 49103-49111.
García, Álvaro López, et al. "A cloud-based framework for machine learning workloads and
applications.", 2020. IEEE access 8. 2020: 18681-18692.
Hendradi, P., Abd Ghani, M. K., Mahfuzah, S. N., Yudatama, U., Prabowo, N. A., &
Widyanto, R. A. Artificial Intelligence Influence In Education 4.0 To Architecture Cloud
Based E-Learning System, 2020. International Journal of Artificial Intelligence Research, 4(1),
:30-38.
Witanto, Elizabeth Nathania, Yustus Eko Oktian, and Sang-Gon Lee. "Toward data integrity
architecture for cloud-based AI systems.", 2022. Symmetry 14.2. 2022: 273.
Vani, A., Naved, M., Fakih, A. H., Venkatesh, A. N., Vijayakumar, P., & Kshirsagar, P. R.
Supervise the data security and performance in cloud using artificial intelligence,2022. In AIP
Conference Proceedings (Vol. 2393, No. 1, p. 020094). AIP Publishing LLC.
Gill, S. S., Xu, M., Ottaviani, C., Patros, P., Bahsoon, R., Shaghaghi, A., ... & Uhlig, S. AI
for
next generation computing: Emerging trends and future directions. Internet of Things, 19,
2022.
Syamili Mohandas. The Role of AI in Cloud Computing, 2020. Journal of Emerging
Technologies and Innovative Research, Volume 7, Issue 12, (ISSN-2349-5162). 2020.
David Cearley, Brian Burke. Top, G. (10). strategic technology trends for 2019. 2018.
El Khatib, Mounir M., Ahmed Al-Nakeeb, and Gouher Ahmed. "Integration of cloud
computing with artificial intelligence and Its impact on telecom sector—A case study.",
IBusiness 11.01.2019: 1.