Abstract:

[Objective] The paper presents the challenges faced by the telecom operator as well as their orientation under the background of the national project of "East-West Computing Requirement Transfer". It expounds on the exploration of the integrated solution capability and application scenarios for the computing power network. [Methods] This paper mainly focuses on the seven aspects and application scenarios of the computing power network, including intent acceptance, trusted transaction, unified management, unified metrics, capacity encapsulation, orchestration scheduling, and computing party perception. The computing power network relies on the underlying computing infrastructure, the middle layer of computing power orchestration management (computing power network brain), and the upper layer of computing operation services. The paper aims to provide guidance and suggestions for computing power capability as well as the relevant operators. [Results] Telecom operators have the advantages in developing the computing power network. Through systematic solution construction, the future computing power network will be implemented in various scenarios such as social media, gaming on demand, industrial vision as well as smart home systems. [Limitations] The evolution of the computing power network can be divided into three stages to integrate and form the computing systems gradually. Works in computing ubiquity, computing power awareness, computing power routing, and computing power orchestration should be done on the basis of deep cloud-network integration. [Conclusions] As driven by both national policies and technology development, computing power network has shown a new development direction. The development of the computing power network will reach an unprecedented height. In the future, the computing power network will become a core component of the new infrastructure construction. It will penetrate into all aspects of people’s life and accelerate the digital transformation of the relevant industry.

Key words: computing power network, computing power network brain, computing power network orchestration, computing power network scheduling