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Liang Liu

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2026

AdpVDLTS: Adaptive Spatio-Temporal VNF Placement and Load-Balanced Traffic Scheduling in Edge Computing Networks

The rise of network function virtualization (NFV) technology has enabled virtual network functions (VNF) and service function chains (SFCs) to develop into standard paradigms for service delivery. The uncertain traffic brought about by edge computing has made it a key issue to figure out how to deploy VNFs for network...

Guiyan Liu, Ji Li, Kai-Xin Qin et al. · 0 citations
#reinforcement learning Open access Sep 2026

Graph neural network-based service migration decision in vehicular networks

The rapid development of the Internet of Vehicles (IoV) has led to an exponential increase in the number of latency sensitive and computationally intensive tasks. Due to the limitations of onboard computing resources in vehicles, offloading these tasks generated during vehicle operation to a remote cloud for processi...

Li-Yan Wang, Xian-Feng Zheng, Liang Liu et al. · 0 citations
2026

Multi-Source Multicast SFCs Embedding in Space-Air-Ground Integrated Networks

Space-air-ground integrated networks (SAGINs) offer seamless three-dimensional coverage and strengthened flexibility, which are recognized as a core network architecture of 6G. Software-defined networking (SDN) and network function virtualization (NFV) are two enabling technologies for SAGINs that can be utilized to se...

Liang Liu, Yejun He, Yu-Jie Zhang et al. · 0 citations
#edge computing Sep 2026

PreSFC: Predictive SFC Migration via Multi-Slot Mobility Forecasting in MEC Networks

Network Function Virtualization (NFV) is a foundational technology for Mobile Edge Computing (MEC). It delivers network services by chaining Virtual Network Functions (VNFs) into sequential Service Function Chains (SFCs). One of the most critical challenges in MEC is how to provide continuous and stable services to hig...

Ji Li, Songtao Guo, Quanjun Zhao et al. · 0 citations

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