The forecast of network traffic with arbitrary predicting horizon is a key enabler of smart
management in next-generation networks, as sufficient amount of time can be provided for …

Sharing of information leads to the need to transfer data between geographically distant
locations. Identifying the most appropriate time period to execute the data transfer is …

The evolving nature of network traffic challenges existing learning-based models, as
frequently re-training the hyper-parameters is required to adaptively learn and predict its …

Traffic engineering in computer and communication networks has become a very complex
process. An important part of this activity is to make predictions about network traffic …

Traffic engineering with traffic prediction is one approach to accommodate time-varying
traffic without frequent route changes. In this approach, the routes are calculated so as to …

Traffic speed prediction is an integral part of an intelligent transportation system (ITS)
because an advanced knowledge of traffic speed can help taking proactive preventive steps …

Various statistical analysis methods are studied for years to extract accurate trends of
network traffic and predict the future load mainly to allocate required resources. Besides …

Many network resource management solutions typically employ traffic prediction algorithms
to improve the performance of a network. In this paper we extend a newly developed method …

Network traffic prediction has a good application prospect in network operation and
maintenance. It is to predict the characteristics of future network traffic from the past traffic. In …

In recent years, the time variation of Internet traffic has increased due to the growth of
streaming and cloud services. Backbone networks must accommodate such traffic without …