2023, Volume 25, Issue 6
Strategic Study of CAE >> 2023, Volume 25, Issue 6 doi: 10.15302/J-SSCAE-2023.06.006
Computing Power Service System of China and Its Development Path
1. Business School of Central South University, Changsha 410083, China;
2. Xiangjiang Laboratory, Changsha 410205, China;
3. School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha 410205, China
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Abstract
Computing power services are a key factor for strengthening the digital capabilities and core competitiveness of China. In the context of the Digital China initiative, the computing power service system of China needs to adapt to the computing power demands of different fields, levels, and scenarios, and the reasonable allocation and efficient utilization of computing resources should be realized, thereby guiding the development and innovation of the digital economy. Based on a global perspective and China’s current situation, this study clarifies the implications of computing power services and analyzes the problems regarding the development of China’s computing power services, including prominent contradictions between supply and demand, uneven distribution of basic computing resources, lack of circulation channels for resources, non-unified technical service standards. An overall architecture for the construction of China’s computing power service system is proposed from the aspects of computing power service form basis, evolution model, and top-level design, and key strategies and development paths are explored. Furthermore, the following suggestions are proposed: (1) strengthening top-level design of computing power to promote the integrated development of computing networks; (2) optimizing computing power resource layout while lowering the threshold for using computing power; (3) building computing power sharing platforms to revitalize social computing values; (4) improving computing power utilization mechanisms and establishing computing power leasing systems; and (5) stimulating potentials in scientific and technological research by exploiting computing power talent advantages.
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