Edge DC Energy Efficiency: A Kubernetes Workload Allocation Optimizer with Generic Server Power Model

Learn about a groundbreaking Kubernetes-compatible Workload Allocation Optimizer (WAO) in this conference presentation from Osaka University. Discover how to achieve over 50% power savings in edge data centers through inter-container orchestration using a generic power consumption model optimized for cloud, edge, and MEC orchestration deployment. Explore the system's capability to process thousands of operational telemetry data points and adapt to changing conditions while significantly reducing energy consumption. Examine a proof-of-concept case study featuring a real-world deployment across 200+ servers, demonstrating WAO's scalable cloud/edge orchestration capabilities and effectiveness as an energy-saving solution for edge computing environments. Gain practical insights into implementing sustainable data center operations and understand how K8s-WAO can enhance energy efficiency while maintaining optimal performance in green edge computing.