CAO Huiling, GAO Sheng, XUE Penget al. Aeroengine fault diagnosis based on multi-classification AdaBoost[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(9): 1818-1825. doi: 10.13700/j.bh.1001-5965.2017.0774(in Chinese)
Citation: ZHENG Zhong, HE Feng, LI Haoruo, et al. Scheduling algorithm of TTE network based on greedy randomized adaptive search procedure[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(11): 2268-2276. doi: 10.13700/j.bh.1001-5965.2020.0382(in Chinese)

Scheduling algorithm of TTE network based on greedy randomized adaptive search procedure

doi: 10.13700/j.bh.1001-5965.2020.0382
Funds:

National Natural Science Foundation of China 71701020

More Information
  • Corresponding author: HE Feng, E-mail: robinleo@buaa.edu.cn
  • Received Date: 03 Aug 2020
  • Accepted Date: 13 Sep 2020
  • Publish Date: 20 Nov 2021
  • Time-Triggered Ethernet (TTE) makes communication tasks have strict determinacy and conflict free by global time-triggered mechanism, which is suitable for mixed critical application fields such as avionics. TTE network provides three different traffic types: Time-Triggered (TT) traffic with low jitter and bounded end-to-end delay, Rate Constrained (RC) traffic with limited end-to-end delay, and no real-time guaranteed "Best Effort" (BE) traffic. Aiming at the problem that Satisfiability Modulo Theories (SMT) and other methods do not consider the influence of TT traffic routing and scheduling on RC traffic delay in the process of generating the TT traffic scheduling timetable, in order to optimize the real-time performance of TTE network, this paper proposes a scheduling algorithm based on greedy randomized adaptive search procedure. The Worst-Case end-to-end Delay (WCD) of RC traffic is considered in the generation process of TT traffic offline scheduling timetable. Under the premise of ensuring the schedulability of TT traffic, the WCD of RC traffic is reduced by routing strategy and scheduling strategy. The comparative experimental results show that the proposed method can effectively improve the real-time performance of the network. Through the comparative analysis of A380 topology networking cases, the average delay of RC traffic is reduced by 14.34%. Also, the larger the network traffic scale, the greater the income of this method.

     

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