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Electronics 13 00285 by santriaquafarmdawara01 is a document available to read on EtoBox.
This study presents a predictive auto-scaling Kubernetes Operator that utilizes time series forecasting algorithms, specifically the Holt–Winter method and Gated Recurrent Unit (GRU) neural network, to enhance resource management in Kubernetes. The proposed method effectively predicts workload trends and adjusts resource allocation proactively, resulting in significant improvements in service quality and reduced cold start times. Experimental results demonstrate a marked decrease in service quality fluctuat
- Author
- santriaquafarmdawara01
- Language
- EN