A URL-Based Computing Power Identification Method
Wenjuan Xing, Guozhen Dong, Nan Wu, Bo Lei · 2022
In order to support the needs of various digital application scenarios, the computing power resources gradually develop in the direction of ubiquitous, multi-level, heterogeneous, and diverse, and the establishment of a unified computing power identification system is the basis for unifiedly managing and cooperatively scheduling of multiple computing power resources through the network. In this paper, we propose a URL-based computing power identification method and build a computing power resource management platform that integrates trustworthy authentication of computing power resources, resource abstraction, computing power identifier generation, and other functions. The information of computing power resources is extracted to generate a unified computing power model, based on which the URL language is used to constitute the computing power URL identifiers. The improved Snowflake algorithm is used to assign a unique identification number to a computing power resource to globally uniquely index a certain computing power resource. The computing power resource identifier generated by this method is unique, generic, easy to read, and scalable.