Research of BGP Routing Instability Detection and Analysis

DOI

10.2991/ameii-16.2016.225How to use a DOI?

Keywords

Border Gateway Protocol, BGP routing instability, simulation experiment, Dynamic Data Modeling, hypothesis test.

Abstract

In this paper, we propose an BGP routing instability detection algorithm that is based on statistics and pattern recognition through deeply learning BGP-4 and seriously analyzing the cause, properties, Manifestations of BGP routing instability, and verify its correctness and effectiveness by using SSFNet simulation experiment. BGP routing instability detection algorithm can accurately detect change points in time series and what type of instability sub-time series with reasonable values of parameters.

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  - Qi-jie Tang
AU  - Yu Zhao
AU  - Yuan Zhou
AU  - Yun-ting Zhou
AU  - Qi-fu Luo
AU  - Feng-zhu Ji
PY  - 2016/04
DA  - 2016/04
TI  - Research of BGP Routing Instability Detection and Analysis
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 1189
EP  - 1194
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.225
DO  - 10.2991/ameii-16.2016.225
ID  - Tang2016/04
ER  -