Measurement-based online available bandwidth estimation employing reinforcement learning

SK Khangura, S Akın - 2019 31st International Teletraffic …, 2019 - ieeexplore.ieee.org
An accurate and fast estimation of the available bandwidth in a network with varying cross-
traffic is a challenging task. The accepted probing tools, based on the fluid-flow model of a …

Machine learning for measurement-based bandwidth estimation

SK Khangura, M Fidler, B Rosenhahn - Computer Communications, 2019 - Elsevier
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 …

Neural networks for measurement-based bandwidth estimation

SK Khangura, M Fidler… - 2018 IFIP Networking …, 2018 - ieeexplore.ieee.org
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 …

Online available bandwidth estimation using multiclass supervised learning techniques

SK Khangura, S Akın - Computer Communications, 2021 - Elsevier
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 …

Can machine learning benefit bandwidth estimation at ultra-high speeds?

Q Yin, J Kaur - Passive and Active Measurement: 17th International …, 2016 - Springer
Tools for estimating end-to-end available bandwidth (AB) send out a train of packets and
observe how inter-packet gaps change over a given network path. In ultra-high speed …

Neural network-based available bandwidth estimation from TCP sender-side measurements

SK Khangura - … on Performance Evaluation and Modeling in …, 2019 - ieeexplore.ieee.org
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 …

A machine learning approach for dynamic selection of available bandwidth measurement tools

A Botta, GE Mocerino, S Cilio… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
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 …

A stochastic foundation of available bandwidth estimation: Multi-hop analysis

X Liu, K Ravindran, D Loguinov - IEEE/ACM Transactions on …, 2008 - ieeexplore.ieee.org
This paper analyzes the asymptotic behavior of packet-train probing over a multi-hop
network path P carrying arbitrarily routed bursty cross-traffic flows. We examine the statistical …

Model-based end-to-end available bandwidth inference using queueing analysis

X Hei, B Bensaou, DHK Tsang - Computer Networks, 2006 - Elsevier
End-to-end available bandwidth estimation between Internet hosts is important to
understand network congestion and enhance the performance of Quality-of-Service (QoS) …

WIP: Short-Term Flow-Based Bandwidth Forecasting using Machine Learning

M Labonne, J López, C Poletti… - 2021 IEEE 22nd …, 2021 - ieeexplore.ieee.org
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 …