Multi-connectivity for 5G networks and beyond: A survey
To manage a growing number of users and an ever-increasing demand for bandwidth,
future 5th Generation (5G) cellular networks will combine different radio access technologies …
future 5th Generation (5G) cellular networks will combine different radio access technologies …
Joint resource management and flow scheduling for SFC deployment in hybrid edge-and-cloud network
Network Function Virtualization (NFV) migrates network functions from proprietary hardware
to commercial servers on the edge or cloud, making network services more cost-efficient …
to commercial servers on the edge or cloud, making network services more cost-efficient …
Provably efficient algorithms for traffic-sensitive sfc placement and flow routing
Network Function Virtualization (NFV) has the potential of cost-efficiency, manage-
convenience, and flexibility but meanwhile poses challenges for the service function chain …
convenience, and flexibility but meanwhile poses challenges for the service function chain …
Real-time update of joint SFC and routing in software defined networks
To meet the ever-increasing demands for high-quality network services, a software defined
network (SDN) can support various virtual network functions (VNFs) using virtualization …
network (SDN) can support various virtual network functions (VNFs) using virtualization …
Latency-efficient vnf deployment and path routing for reliable service chain
Network services usually chain multiple types of Virtual Network Functions (VNFs) together
in a specific order, known as service chain. One important issue of providing network …
in a specific order, known as service chain. One important issue of providing network …
Enhancing federated learning with intelligent model migration in heterogeneous edge computing
To approach the challenges of non-IID data and limited communication resource raised by
the emerging federated learning (FL) in mobile edge computing (MEC), we propose an …
the emerging federated learning (FL) in mobile edge computing (MEC), we propose an …
Federated Learning With Experience-Driven Model Migration in Heterogeneous Edge Networks
To approach the challenges of non-IID data and limited communication resource raised by
the emerging federated learning (FL) in mobile edge computing (MEC), we propose an …
the emerging federated learning (FL) in mobile edge computing (MEC), we propose an …
Scalable and flexible traffic steering for service function chains
R Chen, J Zhao - IEEE Transactions on Network and Service …, 2022 - ieeexplore.ieee.org
Network Function Virtualization (NFV) has inspired numerous orchestration algorithms to
decide Virtualized Network Function (VNF) placement and routing paths for service requests …
decide Virtualized Network Function (VNF) placement and routing paths for service requests …
Near optimal and dynamic mechanisms towards a stable NFV market in multi-tier cloud networks
With the fast development of next-generation networking techniques, a Network Function
Virtualization (NFV) market is emerging as a major market that allows network service …
Virtualization (NFV) market is emerging as a major market that allows network service …
Adaptive Block-Wise Regularization and Knowledge Distillation for Enhancing Federated Learning
Federated Learning (FL) is a distributed model training framework that allows multiple
clients to collaborate on training a global model without disclosing their local data in edge …
clients to collaborate on training a global model without disclosing their local data in edge …