Synthetic Dataset for Slice Performance Forecasting

This synthetic dataset was created from simulated data that underwent thorough analysis to identify patterns of seasonality and correlations among variables. Its primary aim is to support the training and evaluation of various forecasting strategies for slice performance in 5G networks, as detailed in the article: "A Comparative Study of Training Strategies for Slice Performance Forecasting in B5G Networks". The dataset comprises synthetic canonical series that accurately mirror the characteristics of the original data. These series are stored in Parquet format, facilitating efficient access. They are specifically designed to aid in the comparison and assessment of different forecasting methods within the context of 5G networks.