Abstract: Kubernetes offers automatic scaling; however, the accuracy of predicting resource requirements remains a challenge in dynamic workload environments. This research proposes LSTM to predict ...

Abstract: It is crucial to precisely forecast the power load to achieve efficient resource distribution and cost control. The current work introduces a deep learning (DL) driven fusion framework for ...