工业互联网跨层融合服务编排模型及优化方法

doi:10.12305/j.issn.1001-506X.2026.06.33

Abstract

Abstract:

The service-based architecture of 5G has transformed the data service processes in industrial Internet. Operator networks provide customized network services for vertical industries through orchestration systems at both resource and service layers. To ensure spatiotemporal reachability and network service reliability when migrating industrial services to 5G networks, a global service layer orchestration model using time-delay Petri Nets is established and a local state model for the bearer layer based on process algebra is constructed. A parameter transmission method through Petri Net tokens across hierarchical layers is proposed to achieve collaborative orchestration and scheduling between the service layer and bearer layer. A multi-objective genetic algorithm is employed for dynamic service orchestration of multiple business, ensuring deterministic execution logic and temporal guarantees for industrial business. Modeling and analyzing the scheduling business network services of industrial field networks, the proposed method has been verified to accurately describe the temporal logical relationship between system status and service functions in a global view, and verify that the average resource utilization rate of the proposed optimization algorithm nodes in the dynamic environment network simulation is below 70%, and can ensure the successful arrival of 87.3% of the business under high load.

Key words: industrial Internet, service orchestration, time-delay Petri Net, deterministic time

CLC Number:

TN 915

Zhiyuan HU, Zhongtao ZHANG, Tao XU, Bingyi LI, Shichao XU. Cross-layer integrated service orchestration model and optimization method for industrial Internet[J]. Systems Engineering and Electronics, 2026, 48(6): 2122-2131.

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公平性	False	有界性	True
活性	Fales	可达标识数	14
可达性	True	状态空间搜索时间/s	0.045

Cross-layer integrated service orchestration model and optimization method for industrial Internet

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