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Tuesday November 12, 2024 3:55pm - 4:20pm MST
Have you ever considered having over 50% power savings for edge data centers with inter-container orchestration? Our session introduces a K8s-compatible Workload Allocation Optimizer (WAO) that utilizes a generic power consumption model for optimal deployment and scalability across cloud, edge, and MEC orchestration. WAO is designed to continuously process thousands of operational telemetry and adapt to changing conditions, and its optimization process significantly reduces energy consumption at the edge. The presentation will highlight a proof-of-concept case study featuring a real-world deployment of over 200+ servers. It will show how WAO's scalable cloud/edge orchestration capabilities and its efficacy as an energy-saving solution for various edge computing environments. Explore our GitHub repository to implement sustainable data center operations and know that the K8s-WAO can boost your energy efficiency while maintaining optimal performance in green edge computing.
Speakers
avatar for Ying-Feng Hsu

Ying-Feng Hsu

Associate professor, Osaka University
Ying-Feng Hsu is an associate professor at the Cybermedia Center, Osaka University. His research interests include machine learning and cloud computing, with a special focus on data center power consumption optimization. He has been serving as a TPC member for various international... Read More →
Tuesday November 12, 2024 3:55pm - 4:20pm MST
Salt Palace | Level 2 | 250 A
  Kubernetes on Edge Day, Machine Learning

Attendees (6)


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