Lin Gu

Latest

Efficient and Secure Deep Learning Inference in Trusted Processor enabled Edge Clouds
EGraph: Efficient Concurrent GPU-based Large-scale Dynamic Graph Processing
On the Joint Optimization of Function Assignment and Communication Scheduling toward Performance Efficient Serverless Edge Computing
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