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Kubernetes Hybrid Scheduler

  • This scheduler uses the NSGA-III algorithm to select the best nodes on which to place a batch of pods.
  • Pods with three or fewer replicas, or those for which NSGA-III cannot find an optimal solution, are scheduled serially using the TOPSIS algorithm.
  • Scheduler.py follows the Operator pattern to monitor the cluster state and system metrics.
  • It relies on metrics-server, Prometheus Node Exporter, and iperf3 for data collection.

Results:

  • Increased availability, reliability, and scalability of the system
  • Reduced node power consumption and lower communication delay

Usage:

  • Use KIND as a local Kubernetes cluster -> make buildkind
  • Specify schedulerName: hybrid-scheduler and define custom resource requests in pod configurations (example).

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Custom Kubernetes Scheduler using NSGA-III and TOPSIS for Edge Environments

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