The Application of Cloud Computing Technology in Computer Data Processing

Authors

  • Ruhui Ma School of Computer and Software, Chengdu Jincheng University, Chengdu 611731, Sichuan, China

DOI:

https://doi.org/10.53469/jtpes.2024.04(12).06

Keywords:

Computer data processing, Cloud computing technology, Big data

Abstract

In recent years, with the rapid development and continuous progress of cloud computing technology in China, it has provided a good platform for computer data processing work, played a role in promoting the progress of computer technology, has a wide range of applications, and can enhance the data processing level of computers, which is of great significance. Based on this, this article studies and analyzes the application value of cloud computing technology in computer data processing, and proposes several application suggestions, aiming to provide assistance in enhancing data processing effectiveness.

References

Chen, H., Shen, Z., Wang, Y., & Xu, J. (2024). Threat Detection Driven by Artificial Intelligence: Enhancing Cybersecurity with Machine Learning Algorithms.

Li, L., Gan, Y., Bi, S., & Fu, H. (2024). Substantive or strategic? Unveiling the green innovation effects of pilot policy promoting the integration of technology and finance. International Review of Financial Analysis, 103781.

Xu, Y., Gao, W., Wang, Y., Shan, X., & Lin, Y.-S. (2024). Enhancing user experience and trust in advanced LLM-based conversational agents. Computing and Artificial Intelligence, 2(2), 1467. https://doi.org/10.59400/cai.v2i2.1467

Liang, X., & Chen, H. (2019, August). HDSO: A High-Performance Dynamic Service Orchestration Algorithm in Hybrid NFV Networks. In 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) (pp. 782-787). IEEE.

Ren, Z. (2024). Adaptive Multi-Scale Fusion for Infrared and Visible Object Detection in YOLOv8. Journal of Theory and Practice of Engineering Science, 4(09), 28–34. https://doi.org/10.53469/jtpes.2024.04(09).04

Shen, Z., Ma, Y., & Shen, J. (2024). A Dynamic Resource Allocation Strategy for Cloud-Native Applications Leveraging Markov Properties. International Journal of Advance in Applied Science Research, 3, 99-107.

Nadkarni, P. M., Ohno-Machado, L., & Chapman, W. W.. (2011). Natural language processing: an introduction. Journal of the American Medical Informatics Association Jamia, 18(5), 544.

Zheng, H., Wang, B., Xiao, M., Qin, H., Wu, Z., & Tan, L. (2024). Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function. arXiv preprint arXiv:2408.11839.

Teller, & Virginia. (2000). Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition daniel jurafsky and james h. martin (university of colorado, boulder) upper saddle river, nj: prentice hall (prentice hall ser. Computational Linguistics, 26(4), 638-641.

Wang, Z., Zhu, Y., He, S., Yan, H., & Zhu, Z. (2024). LLM for Sentiment Analysis in E-commerce: A Deep Dive into Customer Feedback. Applied Science and Engineering Journal for Advanced Research, 3(4), 8-13.

Xie, Y., Li, Z., Yin, Y., Wei, Z., Xu, G., & Luo, Y. (2024). Advancing Legal Citation Text Classification A Conv1D-Based Approach for Multi-Class Classification. Journal of Theory and Practice of Engineering Science, 4(02), 15–22. https://doi.org/10.53469/jtpes.2024.04(02).03

Yang, H., Zi, Y., Qin, H., Zheng, H., & Hu, Y. (2024). Advancing Emotional Analysis with Large Language Models. Journal of Computer Science and Software Applications, 4(3), 8-15.

Ren, Z. (2024). Semantic Transformation Network: Improving Dialogue Summarization Through Contrastive Learning and Attention. Journal of Theory and Practice in Engineering and Technology, 1(3), 1–8. Retrieved from https://woodyinternational.com/index.php/jtpet/article/view/59

Yao, J. (2024). The Impact of Large Interest Rate Differentials between China and the US bn the Role of Chinese Monetary Policy -- Based on Data Model Analysis. Frontiers in Economics and Management, 5(8), 243-251.

Jurafsky, D., & Martin, J. H.. (2007). Speech and language processing: an introduction to speech recognition, computational linguistics and natural language processing. Prentice Hall PTR.

Chen, H., & Bian, J. (2019, February). Streaming media live broadcast system based on MSE. In Journal of Physics: Conference Series (Vol. 1168, No. 3, p. 032071). IOP Publishing.

Bethard, S., Jurafsky, D., & Martin, J. H.. (2008). Instructor's Solution Manual for Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (Second Edition).

Tennant, & Harry. (1981). Natural language processing: an introduction to an emerging technology.

Xu, G., Xie, Y., Luo, Y., Yin, Y., Li, Z., & Wei, Z. (2024). Advancing Automated Surveillance: Real-Time Detection of Crown-of-Thorns Starfish via YOLOv5 Deep Learning. Journal of Theory and Practice of Engineering Science, 4(06), 1–10. https://doi.org/10.53469/jtpes.2024.04(06).01

Zhu, Z., Wang, Z., Wu, Z., Zhang, Y., & Bo, S. (2024). Adversarial for Sequential Recommendation Walking in the Multi-Latent Space. Applied Science and Biotechnology Journal for Advanced Research, 3(4), 1-9.

Tian, Q., Wang, Z., Cui, X. Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism. arXiv preprint arXiv:2409.13626.

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Published

2024-12-11

How to Cite

Ma, R. (2024). The Application of Cloud Computing Technology in Computer Data Processing. Journal of Theory and Practice of Engineering Science, 4(12), 28–32. https://doi.org/10.53469/jtpes.2024.04(12).06