ETRI-Knowledge Sharing Plaform

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