The Adaptive Avionics Platform

Annighoefer, Bjoern; Riedlinger, Marc; Marquardt, Oliver; Ahmadi, Reza; Schulz, B; Brünner, Matthias; Reichel, Reinhard

doi:10.1109/maes.2019.2900903

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…JTTPS takes into account three fundamental optimization metrics in mixed-critical network networking: network overhead, schedulability of high-priority TT traffic, and the scheduling quality of RC traffic. As an optimization objective, the cost function CF (DV , S , VL) can be expressed as CF (DV , S , VL) = 𝛼Cost (DV ) + C TT (S )+𝛽C RC (VL), (5) where the coefficients 𝛼, 𝛽 are all non-negative weight values and Cost (DV ) denote the monetary overhead of the full network topology, defined as…”

Section: Jttps-ttmentioning

confidence: 99%

“…This allows a network‐wide traffic plan, consisting of routes and schedules, to be executed, ensuring hard real‐time guarantees for each individual traffic flow [3, 4]. The evolution of mixed‐critical networks from static to dynamically reconfigurable scenarios has been observed and discussed in industrial white papers as well as in related research articles [5–7]. This evolution is exemplified by the term “plug and play” in the context of Industry 4.0 and by the rapid fault recovery in avionics systems.…”

Section: Introductionmentioning

confidence: 99%

“…To meet these requirements, mixed-critical networks like TTE (SAE AS6802) and Time Aware Shapers (TAS) in TSNs (defined in IEEE standard 802.1Q) provide a mechanism for scheduling the release time of frames from switches in the network. This allows a network-wide traffic plan, consisting of routes and schedules, to be executed, ensuring hard real-time guarantees for each individual traffic flow [3,4].The evolution of mixed-critical networks from static to dynamically reconfigurable scenarios has been observed and discussed in industrial white papers as well as in related research articles [5][6][7]. This evolution is exemplified by the term "plug and play" in the context of Industry 4.0 and by the rapid fault recovery in avionics systems.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing low‐priority traffic reconfiguration designs in mixed‐critical avionics networks

Xiong

2023

IET Communications

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In avionics system networking, mixed‐critical networks are commonly used to integrate system applications with different levels of guarantees for various traffic classes on a shared resource platform, effectively addressing issues such as cabling, cost, weight, volume, power consumption, etc. However, current fault recovery and reconfiguration techniques mainly focus on high‐priority time‐triggered (TT) traffic, often neglecting the impact of TT traffic reconfiguration on low‐priority traffic. This paper proposes an avionics mixed‐critical networking approach based on the IEEE 802.1CB protocol, which is shown to be more effective for the post‐failure recovery of Rate‐Constrained (RC) traffic (a typical type of low‐priority traffic in TT networks). Furthermore, an elastic reconfiguration algorithm is presented to ensure quality of service for RC traffic during and after reconfiguration, preventing arbitrary application and traffic shutdown triggered by TT traffic reconfiguration. Simulations demonstrate that the proposed approach and algorithm can significantly improve the post‐failure recovery ratio of RC traffic, as well as guarantee quality of service and network throughput of RC traffic during and after reconfiguration to a certain extent.

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Section: Jttps-ttmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%