The Application of Artificial Intelligence Technology in Cloud Computing Environment Resources

Authors

  • Yuan Zheng Information Center, GuangZhou University of Chinese Medicine, Guangzhou 510006, Guangdong, China
  • Xiangbin Wen Information Center, GuangZhou University of Chinese Medicine, Guangzhou 510006, Guangdong, China

DOI:

https://doi.org/10.13052/jwe1540-9589.2067

Keywords:

Artificial Intelligence Technology, Cloud Computing Environment, Cloud Computing Resources, IaaS

Abstract

With the continuous innovation and development of modern computer science and mobile Internet and other information technologies, artificial intelligence (AI) is not a new thing. It has been widely studied and applied in many fields, and it is very important for people in modern society. The research fields of artificial intelligence mainly include: deep learning, natural language processing, computer vision, intelligent robot, automatic programming, data mining and so on. All kinds of industrial production and daily life will bring a very important practical significance and far-reaching influence. The rapid development and improvement of AI have effectively changed the daily life of modern people and improved work efficiency, and promoted the vigorous and healthy development of human economic and social civilization and the progress of information technology. When widely used, traditional network information and big data processing technologies are difficult to adapt to its development needs. Only by closely combining cloud computing technology with other technologies can it play a better role and give full play to AI technology and its development. The enthusiasm and promotion of related application technologies have promoted the smooth progress of AI technology and related undertakings. With the development and improvement of cloud computing technology, more and more users tend to use the cloud to work. However, a large number of cloud service failures occurred, causing huge losses for enterprises and individuals. In order to prevent damage to the interests of enterprises and individuals, cloud service providers will provide high-quality services as much as possible. This paper aims to study the application of AI technology in cloud computing environment resources, research on the indicator of reliability, and propose a cloud service reliability verification method for the infrastructure-as-a-service layer. Experimental research shows that through the reliability detection method in this paper, users can easily and quickly obtain the reliability of the purchased cloud service, and can intuitively feel whether the performance of each server meets the promised situation in the cloud service provider’s SLA.

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Author Biographies

Yuan Zheng, Information Center, GuangZhou University of Chinese Medicine, Guangzhou 510006, Guangdong, China

Yuan Zheng was born in Born in Shangrao, Jiangxi Province in 1979. Master’s degree from South China University of technology. Senior engineer, now engaged in information planning and construction, the main research direction: computer technology, cloud technology, network security, etc.

Xiangbin Wen, Information Center, GuangZhou University of Chinese Medicine, Guangzhou 510006, Guangdong, China

Xiangbin Wen was born in Yantai, Shandong Province, in 1977. Master degree of Guangzhou University of Chinese medicine. Now engaged in higher education research, information planning, management and construction, the main research direction: Internet of things technology, cloud technology, network security, etc.

References

Sun L, Jiang X, Ren H, et al. Edge-Cloud Computing and Artificial Intelligence in Internet of Medical Things: Architecture, Technology and Application. IEEE Access, 2020, PP(99):1–1.

Xin C, Wang X. Research on the Application of College Physical Education Teaching Mode in the Cloud Computing Environment. Journal of Physics: Conference Series, 2020, 1624(2):022068 (4 pp).

Wang Q, Lu P. Research on Application of Artificial Intelligence in Computer Network Technology. International Journal of Pattern Recognition and Artificial Intelligence, 2019, 33(5):1959015.1–1959015.12.

Bogue, Robert. Cloud robotics: a review of technologies, developments and applications. Industrial Robot, 2017, 44(1):1–5.

Pandian A P. Artificial intelligence application in smart warehousing environment for automated logistics. Journal of Artificial Intelligence and Capsule Networks, 2019, 2019(2):63–72.

Yu Z, Liu Y, Zhu C. Application of Propofol in Oral and Maxillofacial Surgery Anesthesia Based on Smart Medical Blockchain Technology. Journal of Healthcare Engineering, 2021, 2021(1):1–11.

Lai Z, Yu L. Research on Digital Marketing Communication Talent Cultivation in the Era of Artificial Intelligence. Journal of Physics: Conference Series, 2021, 1757(1):012040 (5 pp).

Wu Q, Xu H, Zhao Y, et al. Cloud-based smart emergency rescue system and its application in mine water disaster. Meitan Xuebao/Journal of the China Coal Society, 2018, 43(10):2661–2667.

Qiao L, Zhang X. Frequency Management Method Based on Cloud Computing, Big Data and Artificial Intelligence. Journal of Physics: Conference Series, 2021, 1757(1):012106 (8 pp).

Xu Z, Liu W, Huang J , et al. Artificial Intelligence for Securing IoT Services in Edge Computing: A Survey. Security and Communication Networks, 2020, 2020(1):1–13.

Trong H B, Kim U. Application of Information and Technology in Supply Chain Management: Case Study of Artificial Intelligence – A Mini Review. European Journal of Engineering Research and Science, 2020, 5(12):19–23.

Huang D. Application of Translation Technologies in the Translation of IMTFE Transcripts. English Language and Literature Studies, 2021, 11(1):51.

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Published

2021-10-13

Issue

Section

Advanced Practice in Web Engineering