Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)

Network Topology Measurements Research Based on Campus Networks

Authors
Hui-jie Qu, Yan Huang, Dan Zhao, Zhi Zhao
Corresponding Author
Hui-jie Qu
Available Online July 2017.
DOI
10.2991/iccse-17.2017.16How to use a DOI?
Keywords
Topology measurement, FDB, SNMP
Abstract

With the constant expansion of campus networks, their architectures have become more and more complicated. Thus, effective network management has become critical for normal operations of networks. It is of great theoretical and realistic research significance for effectively measuring network topology according to demands for managing campus networks. In this paper, a prototype testing system is designed for topology measurements with FDB-based algorithms for measuring link layer topology. With functions for measuring topology and displaying topological graphs, this system is demonstrated to be effective for implementing these two functions under experimental conditions.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
Series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
10.2991/iccse-17.2017.16
ISSN
2352-538X
DOI
10.2991/iccse-17.2017.16How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Hui-jie Qu
AU  - Yan Huang
AU  - Dan Zhao
AU  - Zhi Zhao
PY  - 2017/07
DA  - 2017/07
TI  - Network Topology Measurements Research Based on Campus Networks
BT  - Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
PB  - Atlantis Press
SP  - 91
EP  - 98
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.16
DO  - 10.2991/iccse-17.2017.16
ID  - Qu2017/07
ER  -