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With the increasing complexity of simulation systems and the emergence of cloud computing, heterogeneous cloud-based simulation has become a new trend in the field of distributed simulation. However, the geographical distribution of simulation nodes pose significant challenges to data transmission performance. This paper proposes a lightweight, high-performance communication library tailored for heterogeneous simulation environments. The library incorporates adaptive protocol selection, high-performance data serialization with Protocol Buffers, and a hybrid transmission mechanism utilizing both HTTP/3 and TCP for reliability. Through a series of experiments simulating LAN and WAN conditions, the proposed library is shown to significantly outperform traditional TCP/XML-based solutions in terms of latency and stability. The results demonstrate the library’s capability to improve real-time performance and enhance the robustness of distributed simulations in complex network environments.

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A Communication Optimization Framework for Simulation in Heterogeneous Network Environment

  • 会议论文

  • 发表日期：

    2026年

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  • Yan Zeng,
  • Mei Yang,
  • Yueshan Zhang,
  • Jian Huang

摘要

With the increasing complexity of simulation systems and the emergence of cloud computing, heterogeneous cloud-based simulation has become a new trend in the field of distributed simulation. However, the geographical distribution of simulation nodes pose significant challenges to data transmission performance. This paper proposes a lightweight, high-performance communication library tailored for heterogeneous simulation environments. The library incorporates adaptive protocol selection, high-performance data serialization with Protocol Buffers, and a hybrid transmission mechanism utilizing both HTTP/3 and TCP for reliability. Through a series of experiments simulating LAN and WAN conditions, the proposed library is shown to significantly outperform traditional TCP/XML-based solutions in terms of latency and stability. The results demonstrate the library’s capability to improve real-time performance and enhance the robustness of distributed simulations in complex network environments.