ETRI-Knowledge Sharing Plaform

Deep Reinforcement Learning Edge Computing Caching Algorithm Caching Policy Learning-Based Cloud Server Qos-Aware Changing Environment Time-To-Live(TTL) Cloud Computing Simulator Distribution Strategy Distribution Problem Token Bucket Utility-Driven User Mobility Function As A Service Multi-Agent Reinforcement Learning Non-Stationary Traffic Research And Development Context-Aware Service Transient State Virtualization Technologies Edge Server Selection Execution Efficiency Federated Learning Long-Short Term Memory(LSTM) Mobility Characteristics New Type Quality Of Service(QoS) Service Level Objectives Cache Storage Computation Complexity Deep Learning(DL) Behavioral Characteristics Traffic Prediction Internet Of Thing(IoT) Machine Learning Mobility Traces State-Of-The-Art Cache Nodes Critical Issues Control Efficiency Decision Problem Time-Varying Violation Rate Workload Distribution Geo-Distributed Cloud Generative Adversarial Network Mobile Traffic Network Cache Short-Delay Decision Making Problem Throughput Performance High Throughput(HTP) Learning Technology Large Scale Internet Smart Mobility Stochastic Modeling And Simulation Slow Convergence Cache Size Conventional Algorithms Curse Of Dimensionality Temporal Correlation Task Response Time Elastic Network Edge Nodes Hierarchical Distributed Architecture Low Latency Location-Based Applications Learning Approach Mobile Communication Cooperative Multi-Agent Based Approach Task Offloading Generative Models It Systems Proof Of Concept Privacy Concerns Steady State Cache Hit Rate Development Purposes Traffic Scenarios Utility Maximization Edge Network Edge Cloud Legal Issues Multi-Agent Learning Optimal State Nonstationary Environment Problem Formulation Qos Constraints Resource Allocation(RA) Service Provider Simulation Results Service Differentiation