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Extends the Kubernetes scheduler with custom priority functions designed to make scheduling decisions workload-aware, specifically targeting FaaS (Function-as-a-Service) environments and simulation via faas-sim.
Defensibility
stars
6
The project is a five-year-old research-oriented repository with negligible adoption (6 stars, 0 forks). It appears to be a reference implementation for a specific academic study or personal experiment involving custom Kubernetes scheduler priorities and the faas-sim simulator. From a competitive standpoint, the project is effectively obsolete. Modern Kubernetes scheduling has evolved significantly since 2019, with the introduction of the Scheduling Framework, Topology Aware Hints, and sophisticated third-party schedulers like Volcano (for batch workloads) or Kueue. Frontier labs and hyperscalers (AWS, Google, Microsoft) have already integrated more advanced workload-aware scheduling into their managed Kubernetes offerings (e.g., GKE Autopilot, AWS Karpenter). The lack of recent activity or a community footprint means there is no moat, and the technical approach is a derivative of older Kubernetes patterns.
TECH STACK
INTEGRATION
reference_implementation
READINESS