Future Industrial Internet-of-Things (IIoT) systems will require wireless solutions to connect sensors, actuators, and controllers as part of high data rate feedback-control loops over real-time flows. A key challenge in such networks is to provide predictable performance and adaptability in response to link quality variations. We address this challenge by developing RECeiver ORiented Policies (Recorp), which leverages the stability of IIoT workloads by combining offline policy synthesis and run-time adaptation. Compared to schedules that service a single flow in a slot, Recorp policies share slots among multiple flows by assigning a coordinator and a list of flows that may be serviced in the same slot. At run-time, the coordinator will execute one of the flows depending on which flows the coordinator has already received. A salient feature of Recorp is that it provides predictable performance: a policy meets the end-to-end reliability and deadline of flows when the link quality exceeds a user-specified threshold. Experiments show that across IIoT workloads, policies provided a median increase of 50% to 142% in real-time capacity and a median decrease of 27% to 70% in worst-case latency when schedules and policies are configured to meet an end-to-end reliability of 99%.
翻译:未来工业互联网(IIoT)系统需要无线解决方案,将传感器、驱动器和控制器作为实时流动的高数据率反馈控制循环的一部分,连接传感器、驱动器和控制器,作为实时流动的高数据率反馈控制循环的一部分。这类网络的一个关键挑战是提供可预测的性能和适应性,以应对质量差异。我们通过制定RECeiver 调整政策(Recorp)来应对这一挑战,该政策将离线政策综合和运行时间适应结合起来,从而利用IIoT工作量的稳定性。与服务一个空位单流的时间表相比,Recor政策通过指派一名协调员和一份可在同一时段提供服务的流量清单,在运行时,协调员将执行一个流量,视协调员已经收到的流量而定。Recorporp的突出特征是,它提供可预测的性:当链接质量超过用户规定的阈值时,该政策符合端端至端值的可靠性和期限。 实验显示,相对于IIoT工作量而言,Recorpol 政策提供了50%至142%的中位数,在实时能力中位时段中位将执行一个流量的中位,在达到27%的配置为70时程的中位时将达到中位时程。