Cloud Computing and AI: Evolution, Emerging Trends and Future Directions

Authors

  • Jasleen Kaur Bains

Keywords:

Bibliometric analysis, Cloud Computing, Artificial Intelligence, Edge Computing

Abstract

This study explores the cloud computing research area to deal with the intricate challenges of future computing. This bibliometric analysis assesses publishing patterns in the domains of AI and Cloud Computing. The tools commonly employed for conducting bibliometric analysis include VOS viewer and R studio. A total of 1234 pertinent papers were retrieved from the SCOPUS database by implementing different Boolean procedures. Bibliographic coupling has been performed to identify the key clusters that emphasize on the current technology that is essential for promoting efficiency and sustainability of cloud computing in the present scenario and near future.

Downloads

Download data is not yet available.

References

Arikumar, K. S., Prathiba, S. B., Alazab, M., Gadekallu, T. R., Pandya, S., Khan, J. M., and Moorthy, R. S. ,“FL-PMI: Federated Learning-Based Person Movement Identification through Wearable Devices in Smart Healthcare Systems.”, Sensors, Vol. 22, no. 4,pp 1377, 2021.

Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., and Brandic, I., “Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility.”, Future Generation computer systems, vol 25, no. 6,pp 599-616, 2009.

Casavant, T. L., and Kuhl, J. G. , “A taxonomy of scheduling in general-purpose distributed computing systems.”, IEEE Transactions on Software Engineering, vol 14, no. 2, pp 141-154,1988.

Firouzi, Farshad, Bahar Farahani, and Alexander Marinšek. "The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)." Information Systems, 107: 101840, 2022.

Flynn, M. J. , “ Very high-speed computing systems.”, Proceedings of the IEEE, Vol 54, no. 12, pp 1901-1909, 1966

Ghimire, B., and Rawat, D. B.,” Recent advances on federated learning for cybersecurity and cybersecurity for federated learning for Internet of Things.”, IEEE Internet of Things Journal, Vol. 9, no. 11, 8229-8249, 2022.

Javaid, M., Haleem, A., Singh, R. P., and Suman, R.,” Enhancing smart farming through the applications of Agriculture 4.0 technologies.” International Journal of Intelligent Networks, vol 3, pp. 150-164, 2021.

Kamble, S. S., Gunasekaran, A., Parekh, H., Mani, V., Belhadi, A., and Sharma, R., “Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework.”, Technological Forecasting and Social Change, 176, 121448, 2022.

Lee, C., Qin, S., and Li, Y. , ”Does industrial robot application promote green technology innovation in the manufacturing industry?”, Technological Forecasting and Social Change, 183, 121893, 2022.

Leng, J., Sha, W., Wang, B., Zheng, P., Zhuang, C., Liu, Q., Wuest, T., Mourtzis, D., and Wang, L., “ Industry 5.0: Prospect and retrospect.”, Journal of Manufacturing Systems, vol. 65, pp. 279-295, 2022.

McEnroe, P., Wang, S., and Liyanage, M., “A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges.”, IEEE Internet of Things Journal, Vol. 9, no. 17, pp. 15435-15459, 2022.

Mukhuty, S., Upadhyay, A., and Rothwell, H., “Strategic sustainable development of Industry 4.0 through the lens of social responsibility: The role of human resource practices.”, Business Strategy and the Environment, Vol 31, no. 5, pp. 2068-2081, 2022.

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C.D., Shamseer, L., Tetzlaff, J.M., Akl, E.A., Brennan, S.E. and Chou, R., The PRISMA 2020 statement: an updated guideline for reporting systematic reviews., BMJ, 71, 372, 2021.

Palaniappan, S. , “Cloud computing for academic environment.”, International Journal of Computer Science and Mobile Computing, Vol. 3, no. 5, pp 8-15, 2014.

Psarommatis, F., Sousa, J., Mendonça, J. P., and Kiritsis, D.,” Zero-defect manufacturing the approach for higher manufacturing sustainability in the era of industry 4.0: a position paper.”, International Journal of Production Research, Vol. 60, no. 1, pp 73-91, 2022.

Rimal, B. P., Choi, E., and Lumb, I., “A taxonomy and survey of cloud computing systems.”, In 2009 fifth International Joint Conference on INC, IMS and IDC, IEEE, pp. 44-51, 2009.

Rodríguez-Espíndola, O., Chowdhury, S., Dey, P. K., Albores, P., and Emrouznejad, A., “Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing.”, Technological Forecasting and Social Change, vol. 178, 121562, 2022.

Sindhwani, R., Afridi, S., Kumar, A., Banaitis, A., Luthra, S., and Singh, P. L., “Can industry 5.0 revolutionize the wave of resilience and social value creation? A multi-criteria framework to analyze enablers.”, Technology in Society, vol 68, 101887, 2022.

Van Eck, N., and Waltman, L., “Software survey: VOSviewer, a computer program for bibliometric mapping.”, Scientometrics, Vol 84, no. 2, pp 523-538, 2010.

Zupic, I., and Čater, T., “Bibliometric Methods in Management and Organization.”, Organizational Research Methods, vol. 18, no. 3, pp 429-472, 2015.

Downloads

Published

14.08.2024

How to Cite

Jasleen Kaur Bains. (2024). Cloud Computing and AI: Evolution, Emerging Trends and Future Directions. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 2608 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6687

Issue

Vol. 12 No. 4 (2024)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.