Research On Time Sensitive Networking Traffic Scheduling Optimization Method Based On Latency Predictability

Latency predictability is one of the important indicators for real-time communication networks to ensure the reliable transmission of data flows,and it is also an important reference basis for network planning and optimal configuration.At present,due to the increasing complexity of communication networks and the variety of data flows,choosing the appropriate traffic scheduling method is the key to achieving high latency predicta bility of communication networks.Time Sensitive Networking(TSN)as one of the deterministic data transmission technologies,covers five main traffic scheduling mechanisms,and the relevant mechanisms need to be studied in depth.Therefore,this paper conducts an in-depth study on the TSN gate control traffic scheduling mechanism to improve the latency predictability of communication networks.The research contents and results of this paper are manifested in the following aspects.First of all,the quantification method of latency predictability of communication network and the traffic scheduling method of TSN technology were summarized.Meanwhile,the working principle of traffic scheduling under time-aware shaper was analyzed,which lays a theoretical fou ndation for the subsequent description of data flow constraints.Secondly,the five constraints followed by TSN traffic scheduling under the time-aware shaper were comprehensively analyzed and the formal constraints were given.Then,this paper proposed an optimization method for optimizing the traffic scheduling of TSN network by using incremental scheduling algorithm and satisfiability module theories(SMT),and determined the optimization goal of improving the latency predictability of communication network.Two key performance indicators of performance and latency predictability of TSN traffic scheduling optimization problems were analyzed by specific examples,and the feasibility and correctness of the proposed algorithm were verified.The results show that the traffic scheduling optimization method used in this paper can solve the problem of TSN traffic scheduling,and ensured that the critical data flows have high latency predictability.The research results of this paper have reference value for solvi ng the problem of traffic scheduling optimization of TSN and promotes the practical application of TSN technology in engineering practice.