Lin Gu

Latest

On the Joint Optimization of Function Assignment and Communication Scheduling toward Performance Efficient Serverless Edge Computing
Efficient and Secure Deep Learning Inference in Trusted Processor enabled Edge Clouds
EGraph: Efficient Concurrent GPU-based Large-scale Dynamic Graph Processing
Lasagna: Accelerating Secure Deep Learning Inference in SGX-enabled Edge Cloud
Exploring Layered Container Structure for Cost Efficient Microservice Deployment
Service Function Chain Deployment and Network Flow Scheduling in Geo-Distributed Data Centers
Intelligent VNF Orchestration and Flow Scheduling via Model-Assisted Deep Reinforcement Learning
A Game-based Network Slicing and Resource Scheduling for Compute First Networking
Offloading Federated Learning Task to Edge Computing with Trust Execution Environment
Deep reinforcement learning based VNF management in geo-distributed edge computing
Fairness-aware Dynamic Rate Control and Flow Scheduling for Network Utility Maximization in Network Service Chain
When green energy meets cloud radio access network: Joint optimization towards brown energy minimization
Stochastic Scheduling Towards Cost Efficient Network Function Virtualization in Edge Cloud
Green C-RAN: A Joint Approach to the Design and Energy Optimization
Resource management at the network edge: A deep reinforcement learning approach
Take Renewable Energy into CRAN toward Green Wireless Access Networks
Joint optimization on switch activation and flow routing towards energy efficient software defined data center networks
A General Communication Cost Optimization Framework for Big Data Stream Processing in Geo-distributed Data Centers
Joint Optimization of VM Placement and Request Distribution for Electricity Cost Cut in Geo-distributed Data Center