This paper presents a review of the literature on network traffic prediction, while also serving
as a tutorial to the topic. We examine works based on autoregressive moving average …

Traffic prediction of wireless networks attracted many researchers and practitioners during
the past decades. However, wireless traffic frequently exhibits strong nonlinearities and …

Network traffic analysis and predictions have become vital for monitoring networks. Network
prediction is the process of capturing network traffic and examining it deeply to decide what …

Network traffic prediction is a fundamental prerequisite for dynamic resource provisioning in
wireline and wireless networks, but is known to be challenging due to non-stationarity and …

Mobile networks are critical for today's social mobility and the Internet. More and more
people are subscribing to mobile networks, which has led to substantial demands. The …

Network traffic volume estimation and prediction is an important research topic that attracts
persistent attention from the networking community and the machine learning community …

The accurate estimation of future network traffic is a key enabler for early warning of network
degradation and automated orchestration of network resources. The long short-term memory …

The article focuses on developing a new prediction method for telecommunications network
state based on knowledge graphs. The article analyses the prediction methods supported by …

Error back-propagation-and its many variations-has been used extensively to train neural
networks. A multi-layer system cannot be trained in a supervised learning scheme because …

Video services on the Internet are not able to offer consistent and assured performance to
users or third-party applications. Measuring levels of performance over time is difficult, and …