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A genetic algorithm based configuration optimization method for AFDX

机译:基于AFDX的基于遗传算法的配置优化方法

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The configuration table of AFDX(Avionics Full Duplex Switched Ethernet) network is used for organizing the message transmission and setting the path for transmission. Its design must satisfy the timeliness of data transmission. However, existing design of configuration table causes too much delay on AFDX network. To fix this problem, this paper firstly provides a two-layer optimized method for the network max frame length of AFDX network configuration table. The method ensures the timeliness of high priority VL (virtual link), reserves more bandwidth for low priority VL and optimizes the end-to-end delay of low priority VL. Secondly, the method is solved with Genetic Algorithm to obtain the optimized max frame length. Finally, a test case is designed which shows the effectivity and practicality of the algorithm. This study not only ensures the timeliness and reliability of AFDX data transmission, but also optimizes the allocation of resources and improves the efficiency of configuration loading.
机译:AFDX(AviOlics全双工交换以太网)网络的配置表用于组织消息传输并设置传输路径。其设计必须满足数据传输的及时性。但是,配置表的现有设计会导致AFDX网络的太多延迟。为解决此问题,本文首先为AFDX网络配置表的网络最大帧长度提供了双层优化方法。该方法可确保高优先级VL(虚拟链路)的时间性,为低优先级VL储备更多的带宽,并优化低优先级VL的端到端延迟。其次,用遗传算法解决方法以获得优化的最大帧长度。最后,设计了测试案例,其显示了算法的有效性和实用性。本研究不仅可以确保AFDX数据传输的及时性和可靠性,而且还优化了资源分配并提高了配置负载的效率。

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