MINCOD-MTD: a RWA algorithm in semi-transparent optical networks

Marín, Eva Pérez; Sanchez, S.; Masip, Xavier; Solé, Jaume; Maier, Guido; Erangoli, W.; Santoni, S.; Quagliotti, Marco

doi:10.1049/ic:20070308

Cited by 3 publications

(1 citation statement)

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“…The so-called Minimum Coincidence and Distance according to the Q factor (MINCOD-Q) [6] is based on the Minimum Coincidence and Distance (MINCOD) routing algorithm [17]. MINCOD-Q uses a set of K pre-computed routes, from a source node to a destination node, having the minimum distance in terms of kilometers and the minimum number of shared links.…”

Section: A Mincod-q Ia-rwa Algorithmmentioning

confidence: 99%

The effects of optimized regenerator allocation in translucent networks under inaccurate physical information

Marín‐Tordera¹,

Yannuzzi²,

Masip-Bruin³

et al. 2010

2010 14th Conference on Optical Network Design and Modeling (ONDM)

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Abstract-Optimized regenerator allocation techniques select which of the already installed regenerators in a translucent network must be used in order to maximize the quality of the optical signal while minimizing the opaqueness of the network. Unfortunately, the performance of an optimized regenerator allocation strategy strongly depends on the accuracy of the physical-layer information. In this paper, we investigate the effects of optimized regenerator allocation techniques when the physical-layer information is inaccurate. According to the performed experiments, we conclude that mostly of the current techniques of regenerator usage optimization are only possible when perfect knowledge of physical information is available. Hence, new regenerator allocation schemes taking into account the inherent inaccuracy in the physical-layer information need to be designed.

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Section: A Mincod-q Ia-rwa Algorithmmentioning

confidence: 99%

The effects of optimized regenerator allocation in translucent networks under inaccurate physical information

Marín‐Tordera¹,

Yannuzzi²,

Masip-Bruin³

et al. 2010

2010 14th Conference on Optical Network Design and Modeling (ONDM)

Self Cite

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Cross-Layer Control of Semitransparent Optical Networks Under Physical Parameter Uncertainty

et al. 2013

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Improving IA-RWA algorithms in translucent networks by regenerator allocation

Tordera

Martínez

Muñoz

et al. 2009

2009 11th International Conference on Transparent Optical Networks

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In this paper we present the impact of considering regenerator allocation when selecting routes and wavelengths in translucent networks. In the regular operation of translucent networks, i.e. with dynamic traffic, we assume that a certain number of 3R regenerators are installed in some nodes of the network. These regenerators break the optical transparency of the lightpaths, but allow establishing the optical connections with the required optical signal quality. We show the performance improvement of the MINCOD-Q IA-RWA algorithm when an efficient regenerator allocation policy is employed (optical regeneration is only performed when the signal quality goes bellow a pre-established threshold). Under this policy, the (extended) MINCOD-Q algorithm performs slightly better in terms of blocking probability, but and most important, this figure is obtained with a significant reduction of the number of 3R regenerators installed in the network.

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MINCOD-MTD: a RWA algorithm in semi-transparent optical networks

Cited by 3 publications

References 1 publication

The effects of optimized regenerator allocation in translucent networks under inaccurate physical information

The effects of optimized regenerator allocation in translucent networks under inaccurate physical information

Cross-Layer Control of Semitransparent Optical Networks Under Physical Parameter Uncertainty

Improving IA-RWA algorithms in translucent networks by regenerator allocation

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