Welcome to the WAO (Workload Allocation Optimizer) for Kubernetes project 👋
- Kubernetes integration: waok8s/waok8s
- Power models: waok8s/optimization
- Redfish integration: waok8s/mlmm
- Multicluster: waok8s/multicluster-endpoint-proxy
- Performance evaluation: Shunsuke Ise et al., "Scalability and Versatility of Energy-Aware Workload Allocation Optimizer (WAO) on Kubernetes", IEEE JCC 2025, Tucson, AZ, USA, 2025.
- Experiments in datacenter: Ying-Feng Hsu et al., "Sustainable Data Center Energy Management through Server Workload Allocation Optimization and HVAC System", IEEE Cloud Summit 2024, Washington DC, USA, 2024.
- WAO: R. Douhara et al., "Kubernetes-based Workload Allocation Optimizer for Minimizing Power Consumption of Computing System with Neural Network," 2020 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 2020.
- Edge DC Energy Efficiency: A K8s Workload Allocation Optimizer with Generic Server Power Model @ Kubernetes on Edge Day NA 2024 [Video]
- Presentation at Kubernetes Meetup Tokyo #66 (日本語) [Video] [Slides]
- A K8s-Based Workload Allocation Optimizer for Minimizing Power Consumption @ KubeCon NA 2021 [Video]