From statistical‐ to machine learning‐based network traffic prediction

Nowadays, due to the exponential and continuous expansion of new paradigms such as Internet Things (IoT), Vehicles (IoV) 6G, world is witnessing a tremendous sharp increase network traffic. In large-scale, heterogeneous, complex networks, volume transferred data, big considered challenge causing different networking inefficiencies. To overcome these challenges, various techniques are introduced monitor performance called Network Traffic Monitoring Analysis (NTMA). Prediction (NTP) significant subfield NTMA which mainly focused on predicting future load its behavior. NTP can generally be realized in two ways, that is, statistical- Machine Learning (ML)-based. this paper, we provide study existing through reviewing, investigating, classifying recent relevant works conducted field. Additionally, discuss challenges directions showing how ML statistical used solve NTP.