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October 17 & 18 Metropolitan Pavilion, NYC

Network State Collection, Correlation, and Analytics

Problem Being Solved:

  • Complex application landscape leads to network changes being likely to cause a broad disruption
  • Understanding disruption extent is complicated
  • No visibility of a single device’s state change impact to the entire network
    • No predictive models exist

Open Networking Components:  Open published network APIs providing access to network state information

  • Open analytics DB and app running on top of SDN controller or network Linux OS for collecting and correlating state and performing historical and predictive analytics

Gap: Mechanism to share state across network hardware and software

Benefits: Lowering OpEx using predictive analytics

  • More agile and proactive network management
  • Increased resiliency and survivability of the network
  • Self-healing network capabilities
  • Drive greater benefit from the infrastructure to monitor and correlate across compute, storage and network

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