DocumentCode
30946
Title
Survivable traffic cognition algorithm with joint failure probability in flexible bandwidth optical networks
Author
Zhang Jie ; Chen Bowen ; Zhao Yongli ; Jue, Jason P. ; Gu Wanyi
Author_Institution
State Key Lab. of Inf. Photonics & Opt. Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume
10
Issue
4
fYear
2013
fDate
Apr-13
Firstpage
38
Lastpage
48
Abstract
This paper addresses the problem of survivable traffic assignment with failure probability requirement in flexible bandwidth optical networks. We describe a Survivable Traffic Cognition (STC) algorithm with joint failure probability. Survivable Traffic Assignment (STA) algorithm and Conventional Traffic Assignment (CTA) algorithm are added to illustrate the effectiveness of our proposed STC. We investigate the effect of joint failure probability on blocking probability, spectral utilization ratio, average joint failure probability, and the average hops. Simulation results show that our proposed STC not only achieves better performance in terms of blocking probability and spectral utilization ratio than CTA and STA, but also does not cause higher average joint failure probability or larger average hops compared with STA. As a result, STC makes the best use of spectral resources and does not cause large average joint failure probability.
Keywords
failure analysis; optical fibre networks; probability; telecommunication network reliability; telecommunication traffic; average hop; average joint failure probability; blocking probability; conventional traffic assignment algorithm; flexible bandwidth optical networks; spectral utilization ratio; survivable traffic assignment; survivable traffic cognition algorithm; Algorithm design and analysis; Bandwidth; Failure analysis; Optical fiber communication; Optical fiber networks; Routing; Telecommunication traffic; flexible bandwidth optical networks; joint failure probability; survivability; traffic cognition;
fLanguage
English
Journal_Title
Communications, China
Publisher
ieee
ISSN
1673-5447
Type
jour
DOI
10.1109/CC.2013.6506929
Filename
6506929
Link To Document