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Proceedings Paper

An analysis on the load balancing strategies in wavelength-routed optical networks
Author(s): Kai Liu; Minglei Fu; Zichun Le
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Paper Abstract

Routing and wavelength assignment (RWA) is one of the key issues in the wavelength-routed optical networks. Although some RWA algorithms have been well performed to meet the need of certain networks requirement, they usually neglect the performance of the whole networks, especially the load balancing of the whole networks. This is quite likely to lead to some links bearing excessive ligthpaths and traffic load, while other links being at an idle state. In this paper, the load distribution vector ( LDV ) is introduced to describe the links load of the networks firstly. Then by means of minimizing the LDV of the networks, the load balancing of the whole networks is tried to improve. Based on this, a heuristic load balancing (HLB) strategy is presented. Moreover, a novel RWA algorithm adopting the heuristic load balancing strategy is developed, as well as two other RWA algorithms adopting other load balancing strategies. At last, the simulations of the three RWA algorithms with different load balancing strategies are done for comparison on the basis of both the regular topology and the irregular topology networks. The simulation results show that the key performance parameters such as the average variance of links, the maximum link load and the number of established lightpath are improved by means of our novel RWA algorithm with the heuristic load balancing strategy.

Paper Details

Date Published: 11 November 2008
PDF: 9 pages
Proc. SPIE 7136, Optical Transmission, Switching, and Subsystems VI, 71364L (11 November 2008); doi: 10.1117/12.803084
Show Author Affiliations
Kai Liu, Zhejiang Univ. of Technology (China)
Minglei Fu, Zhejiang Univ. of Technology (China)
Zichun Le, Zhejiang Univ. of Technology (China)


Published in SPIE Proceedings Vol. 7136:
Optical Transmission, Switching, and Subsystems VI
Ken-ichi Kitayama; Pierpaolo C. Ghiggino; Kim Roberts; Yikai Su, Editor(s)

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