In this paper we propose a stochastic model to predict user throughput in mobile networks.
In particular, the model accounts for uncertainty such as random phenomena (eg, fast …

With the ever increasing number of large scale Internet applications, inter data center (inter-
DC) data transfers are becoming more and more common. Traditional inter-DC transfers …

The era of information explosion had prompted the accumulation of a tremendous amount of
time-series data, including stationary and nonstationary time-series data. State-of-the-art …

With the ever increasing number of large scale Internet applications, inter-data-center (inter-
DC) data transfers are becoming more and more common. Traditional inter-DC transfers …

Distributed Denial of Service (DDoS) activities continue to dominate today's attack
landscape. This work proposes a DDoS forecasting model to provide significant insights to …

The maturity of 5G technology provides a guarantee for increasingly large communication
networks, while the resources required for communication and computation are also …

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

The research subject is the cost management system of an industrial enterprise. The
purpose of the article is the theoretical substantiation of the methodical aspects of the cost …

Accurate and real-time traffic flow forecasting plays an important role in optimizing traffic
routing enabling adaptive and sophisticated applications on the network. Managing and …

Multistep flow prediction is an essential task for the car-sharing systems. An accurate flow
prediction model can help system operators to pre-allocate the cars to meet the demand of …