  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.
