Manufacturing, automotive, and aerospace environments use embedded systems for control and automation and need to fulfill strict real-time guarantees. To facilitate more efficient business processes and remote control, such devices are being connected to IP networks. Due to the difficulty in predicting network packets and the interrelated workloads of interrupt handlers and drivers, devices controlling time critical processes stand under the risk of missing process deadlines when under high network loads. Additionally, devices at the edge of large networks and the internet are subject to a high risk of load spikes and network packet overloads. In this paper, we investigate strategies to detect network packet overloads in real-time and present four approaches to adaptively mitigate local deadline misses. In addition to two strategies mitigating network bursts with and without hysteresis, we present and discuss two novel mitigation algorithms, called Budget and Queue Mitigation. In an experimental evaluation, all algorithms showed mitigating effects, with the Queue Mitigation strategy enabling most packet processing while preventing lateness of critical tasks.

翻译：制造、汽车和航空航天环境使用内嵌的控制和自动化系统,并需要实现严格的实时保障。为了便利更有效的业务流程和远程控制,这些装置正在连接到IP网络。由于难以预测网络包以及中断处理者和司机的相互关联工作量,控制时间关键过程的装置在网络负荷高的情况下处于缺失过程最后期限的风险之下。此外,大型网络和互联网边缘的装置都面临负荷激增和网络包超载的高风险。在本文件中,我们调查了实时检测网络包超载的战略,并提出了四种适应性缓解本地最后期限缺失的办法。除了两个缓解网络暴发的战略之外,我们介绍和讨论两种新型缓解算法,即预算和降低速度。在一项实验性评估中,所有算法都显示出减轻影响,而Quue 缓解战略允许大多数组合处理,同时防止关键任务的延迟。