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