Service dependency modeling and failure propagation prediction in distributed systems based on graph neural networks

Abstract The widespread adoption of microservices architecture has introduced unprecedented complexity in service dependencies within distributed systems, where traditional monitoring and prediction methods struggle to effectively address dynamic topology changes and cascading failure risks. This pa...

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Autor principal:	Linling Li
Format:	Artigo
Idioma:	Inglês
Publicat:	Springer 2026-04-01
Col·lecció:	Discover Artificial Intelligence
Matèries:	Service dependency modeling Failure propagation prediction Distributed systems Graph neural networks Fault tolerance System reliability
Accés en línia:	https://doi.org/10.1007/s44163-026-01213-3
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