Intelligent Analysis in Big Data Environments and Support Mechanisms for Cloud Service Architecture

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Published: 2026-05-24
Keywords:
Big Data Analysis, Cloud Service Architecture, Intelligent Systems, Data Scalability, Computational Efficiency

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Jiawei Huang
School of Computer Science and Software, Zhaoqing University, Zhaoqing, China
Haodong Wu
School of Computer Science and Software, Zhaoqing University, Zhaoqing, China

Abstract

This research article explores intelligent analysis within big data environments and its integration into cloud service architectures. The study focuses on developing robust support mechanisms that enhance data processing efficiency and scalability in cloud systems. By employing advanced methodologies, including flowchart-based system modeling and quantitative performance metrics, the paper investigates the interplay between big data analytics and cloud computing frameworks. Results demonstrate significant improvements in computational throughput and resource optimization, offering practical insights for deploying intelligent systems in dynamic cloud environments.

Article Details

Issue

Vol. 2 No. 1 (2026)

Section

Articles

How to Cite

Intelligent Analysis in Big Data Environments and Support Mechanisms for Cloud Service Architecture. (2026). Hua Xia Xin Zhi, 2(1), 280-290. https://journals.hubblepress.com/index.php/HXXZ/article/view/48

References

1. R. P. Shermy and N. Saranya, "Cloud-Based Big Data Architecture and Infrastructure," Resilient Community Microgrids, pp. 131-188, 2025.

2. G. Ying, "Study on uncertainty data analysis for common natural disaster prediction in the US using cloud computing and machine learning," Journal of Science, Innovation & Social Impact, vol. 2, no. 1, pp. 178-189, 2026.

3. M. Bahrami and M. Singhal, "The role of cloud computing architecture in big data," in Information granularity, big data, and computational intelligence, Cham: Springer International Publishing, 2014, pp. 275-295.

4. E. Nikulchev, E. Pluzhnik, D. Biryukov, O. Lukyanchikov, and S. Payain, "Experimental study of the cloud architecture selection for effective big data processing," arXiv preprint arXiv:1507.00365, 2015.

5. B. Berisha, E. Mëziu, and I. Shabani, "Big data analytics in Cloud computing: an overview," Journal of Cloud Computing, vol. 11, no. 1, p. 24, 2022.

6. G. Ying, "Research on a Machine Learning and Cloud Computing-Based System for Real-Time Prediction, Fast Decision-Making, and Dynamic Resource Scheduling in Large-Scale Networks," 2025 IEEE 4th International Conference of Safe Production and Informatization (IICSPI), Chongqing, China, 2025, pp. 558-564, doi: 10.1109/IICSPI66775.2025.11438124.

7. T. A. S. Siriweera, I. Paik, B. T. Kumara, and C. K. Koswatta, "Architecture for intelligent big data analysis based on automatic service composition," International Journal of Big Data, vol. 2, no. 2, pp. 1-14, 2015.

8. J. Wang, Y. Yang, T. Wang, R. S. Sherratt, and J. Zhang, "Big data service architecture: a survey," Journal of Internet Technology, vol. 21, no. 2, pp. 393-405, 2020.

9. S. Singh and Y. Liu, "A cloud service architecture for analyzing big monitoring data," Tsinghua Science and Technology, vol. 21, no. 1, pp. 55-70, 2016.

10. C. Ji, Y. Li, W. Qiu, U. Awada, and K. Li, "Big data processing in cloud computing environments," in 2012 12th International Symposium on Pervasive Systems, Algorithms and Networks, IEEE, 2012, pp. 17-23.

11. P. Shen, "Service architecture and optimization strategies in cloud-based big data platforms," Journal of Science, Innovation & Social Impact, vol. 2, no. 1, pp. 288-298, 2026.

12. H. W. Kim, J. H. Park, and Y. S. Jeong, "Human-centric storage resource mechanism for big data on cloud service architecture," The Journal of Supercomputing, vol. 72, no. 7, pp. 2437-2452, 2016.

13. B. Li, "Reframing Business Strategy through Data: A Review of Data-Driven Strategic Thinking," J. Sustain., Policy, & Pract., vol. 2, no. 1, pp. 230-244, 2026.

14. R. Zhang, "The impacts of cloud computing architecture on cloud service performance," Journal of Computer Information Systems, 2020.