A Resource Servitization Method for Multi-Platform Avionics Systems

With the continuous advancement of modern science and technology, multi-platform avionics systems are playing an increasingly important role in collaborative tasks and resource scheduling. Traditional single-platform avionics systems exhibit significant shortcomings in performance, scalability, and resource sharing, making them unable to meet the requirements for systematized collaboration and efficient scheduling in future applications. This paper addresses the issues of heterogeneity, dynamics, and high coupling in multi-platform avionics systems by proposing a resource servitization method for such systems. This method realizes semantic abstraction and unified description of resource functions through a three-layer ontology modeling of resource, capability, and service, and designs a multi-level service management framework to support cross-platform resource discovery, invocation, and composition. Finally, in combination with a typical joint search task scenario, this paper constructs a prototype system and conducts function and performance verification. The experimental results show that the proposed method can effectively improve resource utilization and cross-platform collaboration efficiency, and can still ensure low response latency and high system stability in the case of node scale expansion and increased communication load, providing strong support for efficient collaborative operations in multi-platform systems.

Authors

Institutions

Publication Details

Journal
Electronics
Published
2026-03-05
DOI
https://doi.org/10.3390/electronics15051082
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Resource Servitization Method for Multi-Platform Avionics Systems

Diyuan Chen, Yuan Li, Jianxing Liu, Huafei Cai et al.
Electronics
Air Traffic Management and Optimization
article

A Resource Servitization Method for Multi-Platform Avionics Systems

Diyuan Chen, Yuan Li, Jianxing Liu, Huafei Cai, Tailong Li, Jinchao Chen
article en

Abstract

With the continuous advancement of modern science and technology, multi-platform avionics systems are playing an increasingly important role in collaborative tasks and resource scheduling. Traditional single-platform avionics systems exhibit significant shortcomings in performance, scalability, and resource sharing, making them unable to meet the requirements for systematized collaboration and efficient scheduling in future applications. This paper addresses the issues of heterogeneity, dynamics, and high coupling in multi-platform avionics systems by proposing a resource servitization method for such systems. This method realizes semantic abstraction and unified description of resource functions through a three-layer ontology modeling of resource, capability, and service, and designs a multi-level service management framework to support cross-platform resource discovery, invocation, and composition. Finally, in combination with a typical joint search task scenario, this paper constructs a prototype system and conducts function and performance verification. The experimental results show that the proposed method can effectively improve resource utilization and cross-platform collaboration efficiency, and can still ensure low response latency and high system stability in the case of node scale expansion and increased communication load, providing strong support for efficient collaborative operations in multi-platform systems.

ElectronicsVol. 15(5)
Northwestern Polytechnical University (CN), System Simulation (United Kingdom) (GB)
Decent work and economic growth
Openalex Percentile: Top 36%
Air Traffic Management and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.