TY - GEN
T1 - Design of Hybrid Deployment Architecture for Aircraft Software for Intelligent Applications
AU - Xu, Xinpeng
AU - Ma, Xianlong
AU - Meng, Zhongjie
AU - Hu, Weijun
AU - Chu, Yong
AU - Zhang, Qian
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - With the rapid development of intelligent applications, the mission execution mode of aircraft has gradually expanded from a single real-time control mode to a hybrid mode of real-time system and non-real-time system, which brings new challenges to the software deployment architecture of aircraft. The centralized architecture relies on the processing power of local hardware, and it is difficult to support the operation of complex intelligent algorithms, while the distributed architecture is affected by the communication delay and data synchronization uncertainty, and it is also difficult to meet the complex application scenarios of aircraft. On the basis of summarizing the development trend of aircraft technology, this study analyzed the requirements of real-time and non-real-time software architecture systems brought about by intelligent applications of aircraft, and designed a hybrid deployment architecture based on autonomous systems OpenEuler and UniProton, and then verified the performance of autonomous systems under the hybrid deployment architecture through deployment tests. The results show that the hybrid deployment architecture proposed in this scheme has a good applicability to the intelligent application of aircraft.
AB - With the rapid development of intelligent applications, the mission execution mode of aircraft has gradually expanded from a single real-time control mode to a hybrid mode of real-time system and non-real-time system, which brings new challenges to the software deployment architecture of aircraft. The centralized architecture relies on the processing power of local hardware, and it is difficult to support the operation of complex intelligent algorithms, while the distributed architecture is affected by the communication delay and data synchronization uncertainty, and it is also difficult to meet the complex application scenarios of aircraft. On the basis of summarizing the development trend of aircraft technology, this study analyzed the requirements of real-time and non-real-time software architecture systems brought about by intelligent applications of aircraft, and designed a hybrid deployment architecture based on autonomous systems OpenEuler and UniProton, and then verified the performance of autonomous systems under the hybrid deployment architecture through deployment tests. The results show that the hybrid deployment architecture proposed in this scheme has a good applicability to the intelligent application of aircraft.
KW - autonomous system
KW - communication middleware
KW - containerized deployment
KW - intelligent applications
KW - real-time and non-real-time
UR - https://www.scopus.com/pages/publications/105020903775
U2 - 10.1109/CCAI65422.2025.11189639
DO - 10.1109/CCAI65422.2025.11189639
M3 - 会议稿件
AN - SCOPUS:105020903775
T3 - 2025 IEEE 5th International Conference on Computer Communication and Artificial Intelligence, CCAI 2025
SP - 965
EP - 969
BT - 2025 IEEE 5th International Conference on Computer Communication and Artificial Intelligence, CCAI 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Computer Communication and Artificial Intelligence, CCAI 2025
Y2 - 23 May 2025 through 25 May 2025
ER -