A TOPSIS-based Kubernetes scheduler reduces scheduling-decision energy by up to 39.1% in a small heterogeneous GKE cluster, though the broader cluster-wide energy impact is extrapolated from assumed parameters.
Artificial intelligence (AI) and internet of things (IoT) in healthcare: Opportunities and challenges
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Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS
A TOPSIS-based Kubernetes scheduler reduces scheduling-decision energy by up to 39.1% in a small heterogeneous GKE cluster, though the broader cluster-wide energy impact is extrapolated from assumed parameters.