Latency-aware service placement is promising in reducing the overall response latency of proliferating edge-cloud collaborative smart manufacturing systems. However, intuitive estimators used by existing approaches cannot accurately depict nonlinear end-to-end (E2E) multihop microservices with complex dependencies, which severely hindering effectiveness latency-aware placement. To address this ...