System Architecture and Service Optimization Strategies for Cloud Platforms Supporting Massive Data Processing

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Published: 2026-05-17
Keywords:
Cloud Platforms, System Architecture, Service Optimization, Massive Data Processing, Performance Metrics

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Huizhong Lin
School of Computer Science and Engineering, North Minzu University, Yinchuan, China

Abstract

This research article explores system architecture and service optimization strategies for cloud platforms designed to support massive data processing. Cloud computing has emerged as a critical infrastructure for handling large-scale data workloads, necessitating innovative approaches to optimize performance, scalability, and resource utilization. The paper investigates key architectural models, data processing frameworks, and optimization techniques tailored for cloud environments. Experimental results demonstrate the efficacy of proposed methods in improving throughput, reducing latency, and optimizing cost efficiency. The findings contribute to the development of robust cloud systems capable of addressing the growing demands of big data applications.

Article Details

Issue

Vol. 2 No. 1 (2026)

Section

Articles

How to Cite

System Architecture and Service Optimization Strategies for Cloud Platforms Supporting Massive Data Processing. (2026). Hua Xia Xin Zhi, 2(1), 110-120. https://journals.hubblepress.com/index.php/HXXZ/article/view/32

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