Platform Architecture Design and Performance Tuning in Green Cloud Computing Environments

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Published: 2026-05-24
Keywords:
Green Cloud Computing, Platform Architecture, Performance Tuning, Energy Efficiency, Sustainability

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Mark Thompson
Division of Social Sciences, University of California, San Diego, San Diego, USA

Abstract

This research article explores the design and performance optimization of platform architectures within green cloud computing environments. It emphasizes the importance of energy efficiency and sustainability in cloud systems while addressing challenges such as resource allocation, workload balancing, and system scalability. The study proposes a novel framework for platform architecture design, integrating advanced methodologies for performance tuning. Experimental results demonstrate significant improvements in energy consumption and computational efficiency, validating the proposed approach. The findings contribute to the growing demand for environmentally conscious cloud computing solutions, offering practical insights for future implementations.

Article Details

Issue

Vol. 2 No. 1 (2026)

Section

Articles

How to Cite

Platform Architecture Design and Performance Tuning in Green Cloud Computing Environments. (2026). Hua Xia Xin Zhi, 2(1), 170-181. https://journals.hubblepress.com/index.php/HXXZ/article/view/38

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