ETRI-Knowledge Sharing Plaform

Deep Reinforcement Learning Caching Algorithm Caching Policy Research And Development(R&D) Edge Nodes Simulation Results Time-To-Live(TTL) Quality-Of-Service(QoS) Cloud Server Changing Environment Edge Cloud Network Services Critical Issues Deep Learning(DL) Learning-Based Multi-Agent Reinforcement Learning Distributed And Parallel Processing Prediction Model Steady State Heuristic Approach Network Research Smart Mobility Mobility Characteristics Network Cache Climate Change Throughput Performance Non-Stationary Environments Greedy Algorithm Distribution Problem Hierarchical Distributed Architecture Distribution Strategy Function As A Service Network Management Edge Networks Task Offloading Learning Technology Ultra-Low Latency Computation Complexity Development Project Large Scale Internet Stochastic Modeling And Simulation Mixed-Integer Non-Linear Programming(MINLP) Traffic Scenarios Geo-Distributed Cloud Long-Short Term Memory(LSTM) Optimal State Context-Aware Service Decision Problem Auto-Scaling Cloud Computing Simulator Cache Size Service Level Objectives 3rd Generation Partnership Project(3GPP) Mobile Communication Networks Cache Storage Decision Making Problem Startup Delay Resource Allocation Traffic Data Service Performance Service Provider Np-Hard Control Efficiency Qos Awareness State-Of-The-Art Memory Resources Non-Stationary Traffic Optimization Problem Autonomous Vehicle Conventional Algorithms Protocol Stack Utility Maximization Simulation Software Energy Efficiency Mobile Traffic Continuous Development Multi-Agent Learning Development Purposes Global Model Violation Rate Curse Of Dimensionality Joint Optimization Federated Learning Model Accuracy Problem Formulation Service Differentiation Suboptimal Solution Central Server Prediction Accuracy Token Bucket Cost-Efficient 3gpp Standards Behavioral Characteristics Execution Efficiency Energy Saving Generative Models Autonomic Networking Communication Standards Proof-Of-Concept Workload Distribution Time-Varying Traffic Prediction Slow Convergence Virtualization Technologies Scaling Method User Mobility Edge Server Selection Internet Of Things(IoT) Cooperative Multi-Agent Machine Learning Paradigm Network Simulator(NS2) Transient State Privacy Concerns Self-Management Short-Delay Network Technology Utility-Driven Relaxation Techniques Temporal Correlation New Type Based Approach Performance Requirements Legal Issues Elastic Network Estimation Model It Systems Location Based Applications Learning Approach Mobility Traces Data Sets Generative Adversarial Network Cache Nodes Scaling Approach Industrial Control Carbon Emissions Task Response Time High Throughput Cache Hit Rate Reducing Energy Consumption Qos Constraints Core Network Accuracy Estimation Intelligent Networks(Smart Grid) Mobile Edge Computing(MEC)