ESRDO: An Efficient E2E SFC Resource Dynamic Orchestration Framework and Approach

With the increasing demand for time-critical transmission in vertical industries, the deterministic network has been proposed to provide transmission services with deterministic latency and jitter. Currently, deterministic network research primarily focuses on the transport networks and physical layer of wired networks. However, there is still a lack of research on end-to-end (E2E) deterministic services covering wireless access, wired transmission, and network computing, especially in the dynamic networks. To address this challenge, we propose an efficient E2E service function chain (SFC) resource dynamic orchestration (ESRDO) framework integrating network slicing, edge computing, and deterministic network technologies. To ensure deterministic E2E latency and low latency violation rates, under the case of time-varied number of end users and dynamic channel conditions. Extensive simulation results show that our proposed ESRDO obviously outperforms traditional dynamic resource optimization methods based on the mixed integer nonlinear programming (MINLP).