DocumentCode
3037825
Title
Topology automatic discovery method and layout algorithm for EPON and WiMAX Convergence Network
Author
Yu, Wenchang ; Gu, Yuqin ; Lv, Miao ; Chen, Xue
Author_Institution
Key Lab. of Opt. Commun. & Lightwave Technol. Minist. of Educ., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2010
fDate
14-15 May 2010
Firstpage
1
Lastpage
4
Abstract
EPON and WiMAX Convergence Network integrates the “master-slave and peer-to-peer combined” EPON network structure that supports protection switching with the WiMAX technology. Directing at the complicated architecture and various types of topology of the convergence network, this article proposes an automatic discovery method and a layout algorithm for network topology to facilitate the network management. Adopting the automatic discovery technology which based on SNMP, the automatic discovery method will automatically discover the active and passive devices without increasing the burden of the network. The layout algorithm actually includes the topology auto-adapt layout algorithm when the devices have been discovered and the auto-relayout algorithm when the topology has been changed by the user. The layout algorithm will draw reasonable and distinct topology maps for the user to check through and edit.
Keywords
WiMax; telecommunication network management; telecommunication network topology; EPON network structure; WiMAX convergence network; WiMAX technology; auto-adapt layout algorithm; auto-relayout algorithm; automatic discovery technology; distinct topology maps; network management; network topology; topology automatic discovery method; Convergence; EPON; Educational technology; Network servers; Network topology; Optical fibers; Optical network units; Passive optical networks; Telecommunication network topology; WiMAX; convergence network; layout algorithm; network management; topology automatic discovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless and Optical Communications Conference (WOCC), 2010 19th Annual
Conference_Location
Shanghai
Print_ISBN
978-1-4244-7597-1
Type
conf
DOI
10.1109/WOCC.2010.5510674
Filename
5510674
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