A Comprehensive Assessment Method Based on the Operation and Resources of a Low-Carbon Cloud Platform

Kah Hou Teng; Xuxu Xuxu; Botao  Wang; Zhuolin Zhuolin; Swee Pin  Yeap; Andy  Shaw

Authors

Kah Hou Teng Department of Mechanical Engineering, Faculty of Engineering, Technology, and Built Environment, UCSI University, Kuala Lumpur, Malaysia
Xuxu Xuxu Faculty of Engineering, Technology and Built Environment, UCSI university, Kuala Lumpur, 56000, Malaysia
Botao Wang Information Communication Company of Faculty of Engineering Technology & Information Communication Company of Hubei Electric Power Company STATE GRID Corporation of China Wuhan, China
Zhuolin Zhuolin Information Communication Company of Faculty of Engineering Technology & Information Communication Company of Hubei Electric Power Company STATE GRID Corporation of China Wuhan, China
Swee Pin Yeap Department of Chemical and Petroleum Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, 56000, Kuala Lumpur, Malaysia
Andy Shaw Built Environment and Sustainable Technologies Research Institute, Liverpool John Moores University, United Kingdom

Keywords:

cloud platform, operational assessment, resource efficiency, low-carbon energy

Abstract

In the context of rapid globalization and informatization, cloud platforms have become a critical tool for enterprises to achieve efficient and precise operations, demonstrating significant practical value. This study proposes a comprehensive evaluation method for cloud resources by establishing a full lifecycle data management mechanism. This approach achieves systematic optimization from the infrastructure layer to the business application layer. Specifically, this paper constructs a comprehensive verification system that covers data collection, processing, analysis, and visualization. Additionally, this paper establishes a cross-layer comprehensive evaluation model spanning the platform and application layers, supporting real-time monitoring of operational differences in heterogeneous systems. Through empirical deployment in 27 regions from January to December 2023, we continuously monitored the operational stability and resource efficiency of cloud systems. Experimental results indicate that this method not only enhances the overall management efficiency and resource utilization of cloud platforms but also provides quantifiable technical support for enterprises to gain strategic advantages in digital competition while ensuring system stability