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

IEEE Transactions on Network and Service Management(2021)

引用 16|浏览15
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摘要
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 ...
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关键词
Quality of service,Quality of experience,Adaptation models,System performance,Optimization,Delays,Servers
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