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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

dynamic packet routing

biblio

Visible to the public CoDRL: Intelligent Packet Routing in SDN Using Convolutional Deep Reinforcement Learning

Submitted by grigby1 on Wed, 12/02/2020 - 2:03pm
  • routing configuration
  • network performance
  • Packet loss rate
  • pubcrawl
  • q-learning
  • real-time modification
  • resilience
  • Resiliency
  • resource allocation
  • routing computation
  • network data
  • routing optimization
  • routing strategies
  • Scalability
  • SDN controller
  • Software Defined Network (SDN)
  • software defined networking
  • telecommunication control
  • telecommunication network routing
  • telecommunication traffic
  • deep reinforcement learning agent
  • Convolution layer
  • Convolutional Deep Reinforcement Learning
  • convolutional layer
  • convolutional neural nets
  • coupled congestion control
  • current SDN systems
  • Deep Deterministic Policy Gradient (DDPG)
  • Deep Deterministic Policy Gradients deep agent
  • deep reinforcement learning
  • CoDRL model
  • dynamic packet routing
  • dynamic traffic engineering
  • flexible traffic engineering
  • gradient methods
  • intelligent packet routing
  • less efficient resource utilization
  • mean network delay
  • network congestion

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