DRL-QOR: Deep Reinforcement Learning based QoS/QoE-Aware Adaptive Online Orchestration in NFV-Enabled Networks

Faced with fluctuating network traffic and unknown underlying network traffic dynamics, developing an effective orchestration model with low network cost is still a critical issue in Network Functions Virtualization (NFV)-enabled networks. Thus we propose a Deep Reinforcement Learning based Quality of Service (QoS)/Quality of Experience (QoE)-Aware Adaptive Online Orchestration (DRL-QOR) approach ...