SAP SE
Automated Scaling Of Resources Based On Long Short-Term Memory Recurrent Neural Networks And Attention Mechanisms

Abstract:

Some embodiments provide a non-transitory machine-readable medium that stores a program executable by at least one processing unit of a computing device. The program monitors utilization of a set of resources by a resource consumer operating on the computing device. Based on the monitored utilization of the set of resources, the program further generates a model that includes a plurality of long short-term memory recurrent neural network (LSTM-RNN) layers and a set of attention mechanism layers. The model is configured to predict future utilization of the set of resources. Based on the monitored utilization of the set of resources and the model, the program also determines a set of predicted values representing utilization of the set of resources by the resource consumer operating on the computing device.