关键词: 服务语义路由, 应用级算力业务, 语义标识, AI大模型, 智能体

Abstract:

Traditional IP address-based identification technologies face challenges such as protocol stack layer misalignment and weak semantic capability, making it difficult to meet the service scheduling needs of application-level computing power services. To address these challenges, this paper proposes a core technical path for service semantic routing. The core idea involves encoding service requirements into routable semantic identifiers, enabling accurate identification and intelligent routing of computing power services directly at the application layer. This study analyzes the evolution trend of service semantic routing technology, constructs an identification foundation for resource-service collaboration, and elaborates on two service semantic routing schemes: a network-layer scheme based on Virtual IP Anycast and an application-layer scheme based on URL-PATH. The comparative analysis shows that the application-layer scheme based on URL-PATH has significant advantages in terms of flexibility, intuitiveness, and ease of deployment, making it better suited for the development needs of application-level computing power services.

Key words: service semantic routing, application-level computing power service, semantic identifier, AI large model, intelligent agent