Measuring Congestion States of Paths With Delay Entropy

DOI

10.2991/itoec-16.2016.15How to use a DOI?

Keywords

network Boolean tomography; congestion path measurement; Shannon entropy

Abstract

With knowing the congestion states of end-to-end paths, network Boolean tomography is able to identify congestion links without direct monitoring. Most of existing work on network Boolean tomography uses the loss-based metric to determine congestion states of paths. However, such metric often needs to inject lots of probing traffic into the intervening network in order to obtain a better loss measurement. In this paper, we employ the entropy of the delays to characterize their congestion states instead. As simulation results demonstrate, the delay entropy exhibits better convergence rate than the loss rate with respect to the number of probing packets.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shengli Pan
AU  - Guangmin Hu
PY  - 2016/05
DA  - 2016/05
TI  - Measuring Congestion States of Paths With Delay Entropy
BT  - Proceedings of the 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016)
PB  - Atlantis Press
SP  - 75
EP  - 78
SN  - 2352-5401
UR  - https://doi.org/10.2991/itoec-16.2016.15
DO  - 10.2991/itoec-16.2016.15
ID  - Pan2016/05
ER  -