Abstract:

[Objective] With the continuously increased requirement to computing power network by new commercial activities and models, resource collaborative scheduling and transaction mechanisms are facing new challenges. This article aims to address the key issues of resource identification in computing power networks and build a systematic approach that can support resource transactions and collaborative scheduling. [Methods] Firstly, a resource abstract description framework is designed to achieve multidimensional resource representation through attribute decoupling. Secondly, a unified modeling method for computing power resources based on multidimensional features is proposed to establish a resource classification system. Building upon this, a hierarchical resource measurement model is developed. Furthermore, an innovative algorithm for generating computing power network resources indicators is proposed. Finally, based on practical application scenarios, a transaction mechanism for computing power resources and a dynamic priority scheduling strategy are designed. [Conclusions] The research effectively solve the problem of inefficient operation of computing power networks caused by the heterogeneity of computing power resources. The proposed identification system provides technical support for resource ownership transactions and collaborative scheduling, which paves a theoretical and methodological foundation for building an intelligent computing power network ecosystem.

Key words: computing power network, resource measurement, computing network resource identification, operating mechanism