Research on Service Orchestration and Composition Technologies for Multi-Platform Avionics Systems

With the increasing complexity and diverse requirements of multi-platform avionics systems, traditional static service composition approaches are gradually unable to meet the real-time, flexibility, and energy efficiency requirements of mission execution. This study proposes a service orchestration framework for complex tasks and heterogeneous environments, where task flow is modeled by directed acyclic graphs (DAG) and a formal description integrates task dependencies and resource characteristics. The architecture consists of a task parsing engine and a service orchestration engine, with the task parsing engine responsible for parsing, verifying, and generating executable task entities, and the service orchestration engine managing execution in both static and dynamic modes. Through module collaboration, this framework supports task orchestration from definition to execution. A prototype system is built and performance tests are conducted in typical operational scenarios. The experimental results show that the framework performs efficiently under complex tasks and high concurrency conditions, with high execution efficiency and good scalability. The system can effectively meet the orchestration requirements of multi-platform avionics systems.