论文标题
区分网络流以实时物联网系统中传入数据包的优先级安排
Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems
论文作者
论文摘要
当代表操作系统内核线程无条件地进行IP包装处理时，处理系统可以在高传入的流量方案中体验过载。对于在工业物联网情景和汽车系统中控制其物理环境的嵌入式实时设备尤其令人担忧。我们提出了一种嵌入式的实时知识IP堆栈改编，并通过早期消除传入的数据包和随后的每次上流大道安排。通过启动现有的嵌入式IP堆栈，可以在不需要进一步的任务资源的情况下部署具有最小延迟的严格优先级。简单的缓解技术可以应用于单个流，几乎无法测量的开销，同时保护系统免受过载条件的影响。与未修饰的堆栈相比，我们的IP堆栈改编能够将低优先级数据包处理时间缩短超过86％。因此，网络子系统可以在7倍的一般交通负载下保持活跃，然后将接收IRQ作为确保截止日期的最后手段。
When IP-packet processing is unconditionally carried out on behalf of an operating system kernel thread, processing systems can experience overload in high incoming traffic scenarios. This is especially worrying for embedded real-time devices controlling their physical environment in industrial IoT scenarios and automotive systems. We propose an embedded real-time aware IP stack adaption with an early demultiplexing scheme for incoming packets and subsequent per-flow aperiodic scheduling. By instrumenting existing embedded IP stacks, rigid prioritization with minimal latency is deployed without the need of further task resources. Simple mitigation techniques can be applied to individual flows, causing hardly measurable overhead while at the same time protecting the system from overload conditions. Our IP stack adaption is able to reduce the low-priority packet processing time by over 86% compared to an unmodified stack. The network subsystem can thereby remain active at a 7x higher general traffic load before disabling the receive IRQ as a last resort to assure deadlines.
