A novel recovery algorithm for multi-link failures in spectrum-elastic optical path networks

Bowen Chen; Jie Zhang; Yongli Zhao; Chunhui Lv; Wei Zhang; Yuan Gu; Shanguo Huang; Wanyi Gu

doi:10.1117/12.904477

15 December 2011 A novel recovery algorithm for multi-link failures in spectrum-elastic optical path networks

Bowen Chen, Jie Zhang, Yongli Zhao, Chunhui Lv, Wei Zhang, Yuan Gu, Shanguo Huang, Wanyi Gu

Proceedings Volume 8310, Network Architectures, Management, and Applications IX; 83101V (2011) https://doi.org/10.1117/12.904477
Event: SPIE/OSA/IEEE Asia Communications and Photonics, 2011, Shanghai, China

Abstract

In this paper, a novel survivable algorithm with dynamic load balancing shared-path protection is proposed, named DLBSPP algorithm, in spectrum-elastic optical path networks (SLICE). To tolerate multi-link failures in SLICE, traffic self-adaptive restoration (TSAR) mechanism is adopted to restore the traffic affected by the failures. Simulation results show that, compared with the conventional SPP algorithm, DLBSPP algorithm has lower blocking probability (BP), better spectrum utilization ratio (SUR) and higher failure restoration ratio (FRR).

Citation Download Citation

Bowen Chen, Jie Zhang, Yongli Zhao, Chunhui Lv, Wei Zhang, Yuan Gu, Shanguo Huang, and Wanyi Gu "A novel recovery algorithm for multi-link failures in spectrum-elastic optical path networks", Proc. SPIE 8310, Network Architectures, Management, and Applications IX, 83101V (15 December 2011); https://doi.org/10.1117/12.904477

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available