Double-ANN-Aided Resource Partitioning Scheme for Data Transfers in MEC System over EON

In this paper, we use the wavelet transform and the ANN model to predict the dynamic traffic demands. Moreover, we use ANN models to estimate the task performance in an MEC system. By leveraging the ANN predictor and the ANN estimators, we present a resource partitioning scheme for data transfers in the MEC system to dynamically adjust the resource partitioning based on the predicted demands and the performance requirements. Results show that our proposed scheme offers near-optimal results compared with the existing scheme.