A Fault Tolerant Software Defined Networking Architecture for Integrated Modular Avionics

Cevher, Selcuk; Mumcu, Ali; Caglan, Abdulsamet; Kurt, Eda; Peker, Mehmet Kerim; Hökelek, İbrahim; Altun, Sedat

doi:10.1109/dasc.2018.8569681

Cited by 10 publications

(1 citation statement)

References 12 publications

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“…The Integrated Modular Avionics (IMA) is characterized by common hardware and software modules hosting multiple avionics applications [1], [2]. The amount of exchanged data among the IMA systems becomes enormous as the number of integrated functions within an aircraft increases.…”

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm Based ARINC 664 Mixed Criticality Optimization Using Network Calculus

Akpolat

Gemici

Demir

et al. 2021

2021 IEEE International Conference on Communications Workshops (ICC Workshops)

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ARINC 664 is an Ethernet based deterministic networking standard providing data transmission with bounded delays among avionics sub-systems. This paper presents a Genetic Algorithm (GA) based ARINC 664 network delay optimization using the network calculus (NC), where the GA is used to effectively search the mapping of Virtual Links (VLs) to priority levels using the extended priority scheme. While there are only two priority levels in the ARINC 664 standard, the extended priority concept increases the number of priority levels to improve the schedulability of VLs. For each possible assignment of the VLs to the priority levels, the NC analysis provides the worst-case delay results for all VLs. We define three different fitness functions aiming to minimize the maximum, the average, and the standard deviation of the worst-case VL delays, respectively. The results demonstrate that the extended priority concept improves the schedulability of VLs and the GA optimization approach can successfully achieve the desired objectives for the VL delays if the appropriate cost function is selected.

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Section: Introductionmentioning

confidence: 99%