Innovative Research on the Public Cloud Computing Power Platform
Junbin Le
Zhejiang Wanwang Information Technology Co., Ltd.
Hong Niu
Zhejiang Wanwang Information Technology Co., Ltd.
Dong Lin
Zhejiang Wanwang Information Technology Co., Ltd.
DOI: https://doi.org/10.59429/pmcs.v6i2.6488
Keywords: Public cloud computing power platform; Resource utilization rate; Safety hazard; Service quality
Abstract
Three key issues faced by the public cloud computing power platform in its operation process are discussed: low resource utilization, potential safety hazards, and unstable service quality. Corresponding optimization measures and improvement directions are proposed for these issues. First, by optimizing the resource allocation algorithm, reasonable scheduling and allocation of computing resources can be achieved to improve resource utilization and platform performance. Second, safety protection measures should be strengthened, starting from multiple levels such as physical safety, network safety, system safety, and data safety, to enhance the platform's safety protection capabilities. Third, service quality should be improved, starting from three aspects of service reliability, availability, and responsiveness, to optimize service processes and technical levels, and enhance user satisfaction and loyalty. The implementation of these measures will help the public cloud computing power platform achieve sustainable development and meet the growing needs of users.
References
[1] Hao Junhui. Shanghai Telecom Launches Public Computing Power Service [J]. Posts and
Telecommunications Economy, 2022(3): 12-16.
[2] Yang Xin, Shen Wenhai. The Architecture of Meteorological Computing Power Network and Computing
Power Service System under the Trend of “Eastward Data and Westward Computing” [J]. Frontiers of Data
and Computing Development, 2022, 4(5): 50-59.
[3] Shen Shikuai, Wang Guangquan, Tang Xiongyan. All-Optical Computing Power Network Opens Up the
Main Artery for Computing Resource Transportation [J]. Communication World, 2022(6): 31-32.
[4] Li Shaohe, Li Taixin, Zhou Xu. Computing Power Network: Network-Centered Integrated Resource Supply
[J]. ZTE Communications, 2021, 27(3): 6.
[5] Jiang Lintao. Cloud Computing, Edge Computing, and Computing Power Network [J]. Information and
Communications Technologies, 2020(4): 4-8.