Research Article
TADA: An Active Measurement Tool for Automatic Detection of AQM
@ARTICLE{10.4108/eai.14-12-2015.2262684, author={Minoo Kargar Bideh and Andreas Petlund and Carsten Griwodz and Iffat Ahmed and Razieh behjati and Anna Brunstrom and Stefan Alfredsson}, title={TADA: An Active Measurement Tool for Automatic Detection of AQM}, journal={EAI Endorsed Transactions on Self-Adaptive Systems}, volume={2}, number={8}, publisher={ACM}, journal_a={SAS}, year={2016}, month={1}, keywords={active network measurement tool, network drop scheme detection, active queue management, tail-drop}, doi={10.4108/eai.14-12-2015.2262684} }- Minoo Kargar Bideh
Andreas Petlund
Carsten Griwodz
Iffat Ahmed
Razieh behjati
Anna Brunstrom
Stefan Alfredsson
Year: 2016
TADA: An Active Measurement Tool for Automatic Detection of AQM
SAS
EAI
DOI: 10.4108/eai.14-12-2015.2262684
Abstract
The problem of overbuffering in today's Internet (termed as bufferbloat) has recently drawn a great amount of attention from the research community. This has led to the development of various active queue management (AQM) schemes. The last years have seen a lot of effort to show the benefits of AQMs over simple tail-drop queuing and to encourage deployment. Yet it is still unknown to what extent AQMs are deployed in the Internet. In this paper, we present an end-to-end active measurement method to detect AQMs on the path bottleneck. We have developed an active measurement tool, named \emph{TADA}, and evaluated our measurement methodology on a controlled experimental testbed. Experimental results show that the proposed approach provides the basis to identify whether an AQM is deployed on the bottleneck.
Copyright © 2015 M. Kargar Bideh et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
