AI-Based Big Data Processing and Cloud Architecture Design for Complex Scenarios

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Published: 2026-05-17
Keywords:
AI, Big Data Processing, Cloud Architecture, Scalability, Efficiency

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Qian Wang
College of Computer Science and Technology, Zhejiang Normal University, Jinhua, China
Wei Lin Tan
School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia

Abstract

This research article explores the integration of artificial intelligence (AI) with big data processing and cloud architecture design to address complex computational scenarios. The study introduces a systematic framework for optimizing data processing workflows, leveraging AI-driven algorithms for enhanced scalability and efficiency. A detailed methodology is presented, encompassing experimental setups and architectural designs tailored for diverse use cases. Results demonstrate significant improvements in processing speed, resource utilization, and adaptability to dynamic workloads. The discussion highlights the implications of these advancements for real-world applications, including predictive analytics and large-scale data management. The paper concludes by outlining future directions for AI-enabled cloud systems and their potential to revolutionize big data ecosystems.

Article Details

Issue

Vol. 2 No. 1 (2026)

Section

Articles

How to Cite

AI-Based Big Data Processing and Cloud Architecture Design for Complex Scenarios. (2026). Hua Xia Xin Zhi, 2(1), 98-109. https://journals.hubblepress.com/index.php/HXXZ/article/view/31

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