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Cyber-Physical Systems Virtual Organization

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

CPS-VO

optimal traffic flow matching policy

biblio

Visible to the public Q-DATA: Enhanced Traffic Flow Monitoring in Software-Defined Networks applying Q-learning

Submitted by aekwall on Mon, 04/13/2020 - 10:07am
  • SDN controllers
  • forwarding performance status
  • Network Statistics and Software-Defined Networking
  • optimal traffic flow matching policy
  • policy formulation
  • proactive forwarding device protection
  • Q-DATA framework
  • Q-learning algorithm
  • Reinforcement learning
  • reinforcement learning approach
  • REST SDN application
  • SDN based networks
  • Degradation
  • SDN environment
  • SDN switches
  • SDN-based traffic flow
  • SDN-based traffic flow matching control system
  • support vector machine based algorithm
  • traffic flow granularity
  • traffic flow information
  • traffic flow monitoring
  • traffic forwarding performance degradation protection
  • Security by Default
  • control systems
  • Monitoring
  • Scalability
  • telecommunication traffic
  • computer network management
  • software defined networking
  • Support vector machines
  • learning (artificial intelligence)
  • Resiliency
  • pubcrawl
  • software-defined networking
  • computer network security
  • Security analysis
  • Software-Defined Networks
  • computer network reliability
  • data plane
  • centralised control
  • centralized network control
  • centralized network management
  • control framework
  • control plane
  • Control System

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