A novel dynamic RWA algorithm with intelligent granularity regulation in multi-granular all-optical networks

Authors:
Ching-Fang Hsu
Affiliations:
Department of Computer Science and Information Engineering, National Cheng Kung University, 1, Ta-Hsueh Road, Tainan 701, Taiwan
Venue:
Computer Communications
Year:
2007

Citing 7
Cited 1

Routing and wavelength assignment in all-optical networks

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Waveband switching in optical networks

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A practical approach for routing and wavelength assignment in large wavelength-routed optical networks

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Design of hierarchical crossconnect WDM networks employing a two-stage multiplexing scheme of waveband and wavelength

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A study of waveband switching with multilayer multigranular optical cross-connects

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A scalable design of multigranularity optical cross-connects for the next-generation optical Internet

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On dynamic wavelength assignment in wavelength-convertible multi-granular optical networks

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Abstract

With the great advances of DWDM technology, optical cross-connects have to deal with much more wavelengths. Accordingly, the size of optical cross-connects become larger and larger; also the management cost is much higher. To simplify the architecture of cross-connects for low-complexity maintenance, waveband switching (WBS) in conjunction with several optical cross-connect architectures have been proposed and attracted much attention recently. The main concept of WBS is to group multiple wavelengths into a single waveband and what it concerns includes cross-connect cost and port count reduction. In this paper, we investigate the dynamic RWA problem (MG_DRWA) in WBS networks comprising of all-optical switches based on a cost-effective multi-granular optical cross-connect (MG-OXC) architecture. With this reconfigurable architecture, an optical cross-connect can switch at either fiber level, waveband level, or wavelength level according to its configuration. In order to effectively accommodate dynamic traffic demand, we propose a new MG_DRWA algorithm. Numerical results reveal that the proposed algorithm can achieve significantly better blocking performance as compared to a previously proposed algorithm named MILB under various traffic loads.