Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Identity Routing Symmetry Metrics for Routing Behavior

Authors
Fang Dong, Junbiao Liu, Shenyi Dai
Corresponding Author
Fang Dong
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.368How to use a DOI?
Keywords
Routing symmetry, Routing behavior model, Statistical process.
Abstract
Routing affects several protocols and impacts traffic analysis techniques. In this paper, an identity routing symmetry (IRS) metric is proposed to express network routing and its formulation is derived, which the forward and reverse flows coming from one node to another are exactly the same. IRS in three typical networks is simulated, such as random, WS and BA network. Simulation results show that routing algorithms that generate next hop randomly will lead to a symmetric network, but scale-free network does not work in this way, because degrees of nodes are varied significantly.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 4th International Conference on Machinery, Materials and Computing Technology
Part of series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.368How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Fang Dong
AU  - Junbiao Liu
AU  - Shenyi Dai
PY  - 2016/03
DA  - 2016/03
TI  - Identity Routing Symmetry Metrics for Routing Behavior
BT  - 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1852
EP  - 1855
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.368
DO  - https://doi.org/10.2991/icmmct-16.2016.368
ID  - Dong2016/03
ER  -