Towards Software Defined Autonomic Terabit Optical Networks

Oliveira, J. C. R. F.; Oliveira, Juliano R. F.; Siqueira, María Elisa Pereira Bastos de; Scaraficci, Rafael Augusto; Salvador, M.R.; Mariote, Leonardo; Guerrero, Neil; Carvalho, Luis H. H.; Hooft, Fabian van ’t; Santos, Giovanni Curiel dos; Magalhães, Eduardo; Januário, João

doi:10.1364/ofc.2014.m3h.5

Cited by 6 publications

(6 citation statements)

References 3 publications

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“…It is interesting to note that the probability of accepting a call with unacceptable Q-factor is almost zero (99.99%). (1,9) 80 (3, 6) 100 (4,11) 70 (4, 5) 60 (5, 6) 75 (5, 7) 60 (6,8) 100 (6, 13) 90 (7,9) 60 (9, 10) 60 (8,10) 100 (10,12) 75 (11,14) 100 (10,14) 100 (12,13) 100 (13,14) 60 (1,4) 100 (4, 10) 60 (2,9) 70 (5, 11) 90 (3,14) 30 (13,8) 40 (3,5) 50 (9, 14) 25 (6,14) 50 (9, 12) 40 (10, 6) 25 (7, 11) 40 (3,12) 30 (6,9) 35 (13,4) 40 (7, 1) 60 (12,5) 100 (3, 10) 90 (11,12) 80 (8,9) 100 (11,1) 100 (10,11) 60 (4,14) 20 (5,…”

Section: B Results For Network Bmentioning

confidence: 99%

“…Related works exist in the literature that examine the inferential QoT framework by either focusing on designing a Software Defined Network (SDN) platform capable of supporting data-driven QoT decisions or by proposing datadriven approaches for accurate QoT decisions [5], [6], [7], [8]. Specifically, authors in [5] proposed a transport SDN architecture, and presented new data for devices, network elements, and SDN applications, in order to enable optical networks to support new services and virtualization with flexibility and scalability.…”

Section: Related Workmentioning

confidence: 99%

“…Specifically, authors in [5] proposed a transport SDN architecture, and presented new data for devices, network elements, and SDN applications, in order to enable optical networks to support new services and virtualization with flexibility and scalability. Experimental results were shown, demonstrating optical network self-adaptation for sustaining QoT in the advent of optical impairments.…”

Section: Related Workmentioning

confidence: 99%

“…Experimental results were shown, demonstrating optical network self-adaptation for sustaining QoT in the advent of optical impairments. In [5], only pointto-point connections were considered and an Optical Signal to Noise Ratio (OSNR) monitoring scheme was utilized for keeping track of the physical impairments. However, no specific machine learning techniques were proposed.…”

Section: Related Workmentioning

confidence: 99%

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A data-driven QoT decision approach for multicast connections in metro optical networks

Panayiotou

Ellinas

Chatzis

2016

2016 International Conference on Optical Network Design and Modeling (ONDM)

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A data-driven technique for analyzing Quality-of-Transmission (QoT) data of previously established connections is proposed for accurately deciding the QoT of the newly arriving multicast requests in metro optical networks. The proposed approach is self-adaptive, it is a function of data that are independent from the physical layer impairment (PLIs) and thus does not require specific measurement equipment, and it does not assume the existence of a system with extensive processing and storage capabilities. It is also fast in processing new data, and fast in finding a near-accurate QoT model provided that such a model exists. The proposed technique can replace the existing Q-factor models that are not self-adaptive, they are a function of the PLIs, and their evaluation requires timeconsuming simulations, lab experiments, specific measurement equipment, and considerable human effort. The proposed datadriven QoT approach is based on the utilization of a feed-forward neural network that is trained on a dataset previously generated from a known Q-factor model. The dataset fed to the neural network is represented in a way that specifically describes the QoT of the multicast connections requesting to be established in the network but it is independent from the PLIs. The validity of the proposed approach is examined for two distinct networks, exhibiting a high accuracy when compared to the results of the Q-factor model utilized for generating the QoT data.

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Section: B Results For Network Bmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

A data-driven QoT decision approach for multicast connections in metro optical networks

Panayiotou

Ellinas

Chatzis

2016

2016 International Conference on Optical Network Design and Modeling (ONDM)

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“…In order to meet all requirements defined to performance monitoring in optical networks a new OSNR measurement method was proposed [14,47]. This new technique is based on polarization diversity and the coherent difference between the signal and optical noise and uses a calibration procedure to ensure the desired performance.…”

Section: Osnr Monitormentioning

confidence: 99%

Toward Terabit Autonomic Optical Networks Based on a Software Defined Adaptive/Cognitive Approach [Invited]

Oliveira¹,

Oliveira²,

Magalhães³

et al. 2015

J. Opt. Commun. Netw.

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Terabit elastic optical networking (EON) is foreseen as a viable solution to extend the lifetime of a network exploiting the available bandwidth in previously deployed optical fibers. EON is based on bandwidth-variable transponders capable of supporting multiple bit rates and/ or modulation formats according to traffic requirements and node architectures that route arbitrary channel bandwidths. Thus, EON increases the heterogeneity of the network, which may create the need for autonomic adaptive and/or cognitive techniques. In this context, the software-defined networking (SDN) paradigm emerges as an opportunity to enable such techniques thanks to the centralized view of the network by decoupling the control plane and the data plane. This paper surveys different activities carried out at the Optical Technologies Division in Centro de Pesquisa e Desenvolvimento em Telecomunicações, Brazil. We review an optical transport SDN controller for virtual optical networks that supports two adaptive algorithms. First, the autonomic flexible transponder reconfigures the transmission modulation format according to a threshold level. Second, the adaptive global spectrum equalization reconfigures the wavelengths' attenuation profiles applied at the optical nodes to improve the signals' optical signal-to-noise ratio (OSNR) at reception. Finally, we report experimental results of an in-band OSNR monitor for advanced modulation formats.

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Experimental demonstration of backplane architectures for programmable optical nodes

Garrich

Magalhães

Carvalho

et al. 2014

2014 the European Conference on Optical Communication (ECOC)

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Towards Software Defined Autonomic Terabit Optical Networks

Cited by 6 publications

References 3 publications

A data-driven QoT decision approach for multicast connections in metro optical networks

A data-driven QoT decision approach for multicast connections in metro optical networks

Toward Terabit Autonomic Optical Networks Based on a Software Defined Adaptive/Cognitive Approach [Invited]

Experimental demonstration of backplane architectures for programmable optical nodes

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