With the rapid development and application of the concept of multi-aircraft coordinated operations, there are higher requirements for the performance of airborne computing platforms in processing multi-aircraft coordinated tasks. In this study, we have examined the architecture and computing mode of airborne computing platforms in distributed coordinated application scenarios. We have optimized traditional airborne embedded computer architecture, integrated cloud-edge computing technology and heterogeneous parallel computing technology to enhance the performance of airborne computing platforms. We proposes a multi-level heterogeneous distributed collaborative computing platform architecture. The hardware provides modular computing units, while the software implements distributed collaborative resource management and task management mechanisms, along with a unified high-speed network. Additionally, to meet real-time processing requirements for massive data in coordinated task scenarios, we propose a high-throughput computing mode based on the defined platform architecture to ensure task execution throughput through massively parallel acceleration arrays. By integrating the proposed distributed computing architecture with the high throughput computing model, we have developed an integrated airborne distributed collaborative computing platform. In conclusion, we have conducted an analysis of the application of this platform in typical task scenarios of formation coordinated combat.

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The Design of a Computing Platform Architecture for Collaborative Task Processing in Avionics System

  • Chenxin Lu,
  • Jianchun Xie,
  • Zuolong Liu

摘要

With the rapid development and application of the concept of multi-aircraft coordinated operations, there are higher requirements for the performance of airborne computing platforms in processing multi-aircraft coordinated tasks. In this study, we have examined the architecture and computing mode of airborne computing platforms in distributed coordinated application scenarios. We have optimized traditional airborne embedded computer architecture, integrated cloud-edge computing technology and heterogeneous parallel computing technology to enhance the performance of airborne computing platforms. We proposes a multi-level heterogeneous distributed collaborative computing platform architecture. The hardware provides modular computing units, while the software implements distributed collaborative resource management and task management mechanisms, along with a unified high-speed network. Additionally, to meet real-time processing requirements for massive data in coordinated task scenarios, we propose a high-throughput computing mode based on the defined platform architecture to ensure task execution throughput through massively parallel acceleration arrays. By integrating the proposed distributed computing architecture with the high throughput computing model, we have developed an integrated airborne distributed collaborative computing platform. In conclusion, we have conducted an analysis of the application of this platform in typical task scenarios of formation coordinated combat.