A novel online wavelength assignment algorithm in wavelength-convertible multi-granular optical networks

作     者：Hsu, Ching-Fang Lin, Fang-Sheng 

作者机构：Department of Computer Science and Information Engineering National Cheng Kung University 1 Ta-Hsueh Road Tainan 701 Taiwan Alpha Imaging Technology Corp. Jubei Taiwan 

出 版 物：《Photonic Network Communications》 (Photonic Netw. Commun.)

年 卷 期：2009年第17卷第2期

页      面：145-156页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0815[工学-水利工程] 0803[工学-光学工程] 0701[理学-数学] 

主　　题：Blocking probability 

摘      要：As industrial technology gets more mature, a single fiber can offer more and more wavelengths. However, it also results in a large amount of switching ports at optical cross-connects (OXCs). Certainly, it is expected that higher and higher complexity is inevitable to control and manage such large OXCs. In this paper, we study the dynamic wavelength assignment problem in waveband switching (WBS) networks composed of multi-granular OXCs (MG-OXCs). Moreover, in order to relax the wavelength continuity constraint on lightpath establishments, each MG-OXC node is equipped with a certain number of converters. To efficiently minimize the extra port consumption and utilize wavelength converters, we proposed an online wavelength assignment algorithm named Least Weighted Configuration Cost (LWCC). For a new request, LWCC first adopts fixed routing and then exploits the layered-graph approach and a new cost function for edge weight assignment to determine adequate wavelength(s). The performance metrics of interest include both blocking performance and converter utilization. Numerical results show that LWCC is superior in waveband grouping and therefore results in significant performance gain in terms of blocking probability. © 2008 Springer Science+Business Media, LLC.