时间敏感网络时隙感知循环排队转发流量整形机制

Traffic Shaping Mechanism Based on Time Slot-Aware Cyclic Queuing and Forwarding in Time-Sensitive Networking

时间敏感网络是智能工厂内网的核心技术之一。智能工厂内存在多种需求各异的业务流。为保证关键业务流的性能,同时提升网络带宽利用率,该文提出一种时隙感知循环排队转发流量整形机制(TSA-CQF)。TSACQF通过将低优先级流量插入CQF奇偶队列中剩余可用时隙中传输提高带宽利用率。TSA-CQF机制包括低优先级流量的时隙感知插入和全局流量规划两个部分。低优先级流量的时隙感知插入是在CQF队列出队时,通过感知奇偶队列剩余时隙的大小,将低优先级流量插入到奇偶队列的剩余时隙进行传输。将全局流量规划建模为多条件约束目标优化问题,通过模拟退火算法求解,完成全局流量的调度,提高可调度流数目,进一步提高资源利用率。仿真结果表明,在混合流量条件下TSA-CQF比传统CQF机制平均提高了带宽利用率11.29%。与传统的CQF相比,TSA-CQF在牺牲一定调度策略生成时间的前提下,能明显提高带宽利用率并且降低最坏端到端时延。

Time sensitive network is one of the core technologies of future smart factories.There are multiple business flows with different requirements in smart factories.To ensure the performance of critical traffic flows and improve network bandwidth utilization,a Time Slot-Aware Cyclic Queuing and Forwarding(TSA-CQF)mechanism is proposed.TSA-CQF improves bandwidth utilization by inserting low-priority traffic into the remaining available time slots of the CQF queues.TSA-CQF mechanism includes slot-aware insertion of lowpriority traffic and global traffic planning for low-priority traffic.The first part of TSA-CQF is to insert lowpriority traffic into the remaining time slots of the CQF queues.The global traffic planning is modeled as a multi-conditional objective optimization problem,and it is solved by the simulated annealing algorithm to accept as many flows as possible to increase the bandwidth utilization.Simulation results show that TSA-CQF improves the bandwidth utilization by 11.29%on average compared with the traditional CQF mechanism under mixed traffic conditions.