Pengcheng Laboratory Sun Yat-sen University China Mobile Huawei Technologies ZTE Corporation Computing-Aware Traffic Steering (CATS) optimizes traffic forwarding by considering both computing and networking metrics. While the existing framework and metric drafts provide theoretical models (e.g., L1/L2 normalized metrics), they face significant challenges to achieve direct operational execution in real-world deployments. Normalization methods vary across providers, and aggregated unitless scores often lose critical operational information, making it difficult for routers to make precise decisions. This document is proposed to fill this gap by providing an executable approach. It defines a set of Computing Service Metrics and their operations under the CATS framework. Instead of transmitting low- level raw hardware metrics, service sites dynamically evaluate and report service-oriented metrics (e.g., Global Available Slots) to the control plane. The document also clarifies how such service-oriented metrics can be derived from basic resource information, service reference information, and local policy, and how updates can be controlled in large-scale deployments. This enables efficient and precise traffic-steering policies without negating the value of existing normalized metrics.