Predicting the bandwidth utilization on network links can be extremely useful for detecting
congestion in order to correct them before they occur. In this paper, we present a solution to …

The dispersion that arises when packets traverse a network carries information that can
reveal relevant network characteristics. Using a fluid-flow model of a bottleneck link with first …

This paper proposes a novel framework to predict traffic flows' bandwidth ahead of time.
Modern network management systems share a common issue: the network situation evolves …

Available bandwidth is a vital parameter for understanding network status. A huge number of
tools have been proposed in literature, including general ones as well as tools specialized …

The information that short-lived TCP flows provide on bandwidth estimation may benefit
adaptive video streaming applications or may contribute towards the success of new TCP …

The dispersion that arises when packets traverse a network carries information that can
reveal relevant network characteristics. Using a fluid-flow model of a bottleneck link with first …

The ability to generate network traffic predictions at short time scales is crucial for many
network management tasks such as traffic engineering, anomaly detection, and traffic matrix …

Accurately predicting metrics such as bandwidth utilization in future networks can assist
service providers in predicting network congestion, allowing for proactive network …

Computer network traffic control is a torrid research topic nowadays, as this task helps in
various applications like anomaly detection, congestion control and bandwidth control …

In order to answer how much bandwidth is available to an application from one end to
another in a network, state-of-the-art estimation techniques, based on active probing, inject …