Journal of System Simulation ›› 2023, Vol. 35 ›› Issue (9): 1825-1836.doi: 10.16182/j.issn1004731x.joss.23-0681

• Special Column •     Next Articles

Cloud-Edge Collaborative Service Architecture for LVC Training System

Peng Yong(), Zhang Miao(), Hu Yue   

  1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
  • Received:2023-06-05 Revised:2023-08-05 Online:2023-09-25 Published:2023-09-19
  • Contact: Zhang Miao E-mail:yongpeng@nudt.edu.cn;zhangmiao15@nudt.edu.cn

Abstract:

LVC training, an important means of military training, has received great attention from military and M&S experts. As the virtual and physical elements become more abundant and deeply integrated, LVC training systems become increasingly complex. Aiming at physical-virtual connection, information interaction, simulation computation, run-time control, etc., this paper designs a cloud-edge collaborative service architecture for LVC training systems (CESA-LVC) by reference to cyber-physical systems and cloud-edge computing architectures. CESA-LVC standardizes the structures of LVC training systems from several aspects of intelligent real-time interconnection, joint simulation computation, training auxiliary service, training cognitive decision, and dynamic configuration optimization. It provides a reference model for the design and development of a service-oriented, flexible deployment, and efficient LVC training system. The paper discusses the key technical problems of joint simulation computation, complex network communication, and complex system control. The prototype system for LVC training spanning three provincial-level regions is realized, and the main indicators of each level of CESA-LVC architecture are verified, which proves the rationality of the architecture design.

Key words: LVC, training, cloud-edge computing, collaborative service, simulation

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