Abstract Service Function Chains (SFCs) are deployed and executed in a complex network
environment, where multiple SFCs are coupled by sharing various types of network …

Network Function Virtualization (NFV) is one of the most promising technologies which
decouples Network Functions (NFs) from hardware resources to support more flexible …

Network function virtualization (NFV) is a ground-breaking technology that decouples
network functions (NFs) from customized hardware to support more flexible network services …

Fault diagnosis plays a crucial role in ensuring the safe and stable operation of complex
industrial systems. Among various existing methods, graph convolutional network (GCN) …

To solve the problem of the abnormal performance of multiple service function chains
caused by the failure of the underlying physical node under the 5G end-to-end network …

Cloud computing enables Network Function Virtualization to dynamically provide and
deploy network functions (NFs) to meet business-specific requirements. This approach …

Data-driven fault diagnosis has become a hot topic of research in recent years, due to its
wide applicability, high accuracy, and ease of modeling. In data-driven fault diagnosis …

With the development of modern industry, fault diagnosis has become an important research
field. Currently, many methods for fault diagnosis have been proposed. As a method …

Graph neural networks demonstrate effectiveness in fault diagnosis (FD) due to their
capability to handle complex dependencies and nonlinear mappings. However, current …

Deep learning technology has been gradually applied to solve a variety of fault diagnosis
problems because of its outstanding feature learning and nonlinear classification abilities …