ETRI-Knowledge Sharing Plaform

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