Algorithm for shared path protection in elastic optical network based on spectrum partition Andre Luiz Ferraz Lourenco, Amilcar Careli Cesar SBMO IEEE MTT S International Microwave and Optoelectronics Conference Imoc 2017, 2017 We present a heuristic algorithm to address the optimization problem of routing and spectrum allocation, aimed at traffic protection and restoration in an elastic optical network. The algorithm searches for working and backup disjoint paths, using the shared path protection scheme. It divides the spectrum into two partitions and prioritizes slots in one of them for backup path traffic. The way the algorithm occupies slots of the working and backup paths resembles the behavior of two inverted stacks in which their slots are filled from the extremities toward the center. This scheme is effective in improving the blocking probability of connection requests, the spectrum utilization ratio, and the average size of slot groups. Comparison with reported algorithms shows good performance of the proposed approach.
Execution time improvement for optical amplifier cognitive methodology in dynamic WDM networks Uiara Moura, Miquel Garrich, Amilcar C. Cesar, Juliano Oliveira, Evandro Conforti SBMO IEEE MTT S International Microwave and Optoelectronics Conference Imoc 2017, 2017 Optical networks are facing complexity and management challenges because a multi-technology infrastructure is required to support an ever-increasing traffic volume and dynamicity. In this heterogeneous context, we recently proposed a Cognitive Methodology to adjust the gain operating point of optical amplifiers using case-based reasoning. In this paper, we evaluate the execution time and introduce a modification on the original Cognitive Methodology to improve this critical parameter without degradation on the optical performance. The obtained results show an execution time reduction of around 92%, with the same (or even better) optical performance.
Cognitive algorithm using fuzzy reasoning for software-defined optical network Tania Regina Tronco, Miquel Garrich, Amílcar Careli César, Mônica de Lacerda Rocha Photonic Network Communications, 2016 We propose a cognitive algorithm based on Fuzzy C-Means (FCM) technique for the learning and decision-making functionalities of software-defined optical networks (SDONs). SDON is a new optical network paradigm where the control plane is decoupled from the data plane, thus providing a degree of software programmability to the network. Our proposal is to add the FCM algorithm to the SDON control plane in order to achieve a better network performance, when compared with a non-cognitive control plane. In this context, we illustrate the use of the FCM algorithm for determining, in real time and autonomously, the modulation format of high-speed flexible rate transponders in accordance with the quality of transmission of optical channels. The performance of this FCM algorithm is evaluated via computational simulations for a long-haul network and compared to the case-based reasoning (CBR) algorithm, which is commonly used in optical cognitive networks. We demonstrate that FCM outperforms CBR in both fastness and error avoidance, achieving 100 % of successful classifications, being two orders of magnitude faster. Additionally, we propose a definition of cognitive optical networking and an architecture for the SDON control plane including the FCM engine.
Cognitive Methodology for Optical Amplifier Gain Adjustment in Dynamic DWDM Networks Uiara Moura, Miquel Garrich, Heitor Carvalho, Matheus Svolenski, Alexandre Andrade, et al. Journal of Lightwave Technology, 2016 Our recently proposed cognitive methodology for optical amplifier gain adjustment, that relies on case-based reasoning, showed optical signal-to-noise ratio improvements over time demonstrating the cognition process regardless the deployed amplifier type. In this paper, we extend our preliminary analysis exploring the cognitive methodology benefits for different and larger network topologies. The obtained results show agreement between networks, demonstrating the methodology suitability regardless the network scenario.
Energy-aware traffic routing and resource allocation in WDM optical networks Nereida L. Valdivia, Monica de Lacerda Rocha, Amilcar Careli Cesar SBMO IEEE MTT S International Microwave and Optoelectronics Conference Proceedings, 2015 The growth of data traffic in telecommunication networks has increased the power consumption and its saving has become a key issue in planning and management of telecommunication networks. On the other hand, to guarantee availability and reliability, core optical networks have redundant resources to support extra traffic demand or infrastructure fault. The dedicated path protection (DPP) is an effective and widely used scheme to manage fault. However, networks supporting such strategy keep protection paths in active state, even in conditions where they are not carrying traffic, thus consuming power unnecessarily. To overcome this inefficiency, an effective strategy for decreasing wasted power is an adaptive traffic routing based on sleep mode, which is a state of low power consumption able to change quickly to an active state. The strategy is to route the traffic in order to maximize the amount of network components used by protection paths that can be set in sleep mode. In general, reported strategies reduce power consumption at the expense of increasing blocking probability. In this article, we address the power saving problem in WDM networks using DPP scheme proposing a wider resource search routing and wavelength assignment (RWA), named in-depth (ID-) RWA. Computer simulations based on the COST239 topology showed that the ID-RWA has better performance regarding the compromise between blocking probability and power consumption. Moreover, it manages to decrease the blocking probability while boosting the energy awareness.
SDN-enabled EDFA gain adjustment cognitive methodology for dynamic optical networks Uiara Moura, Miquel Garrich, Heitor Carvalho, Matheus Svolenski, Alexandre Andrade, et al. European Conference on Optical Communication ECOC, 2015 We propose and experimentally validate an SDN-enabled cognitive methodology for EDFA gain adjustment that relies on case-based reasoning. Results show OSNR improvements over time demonstrating the cognition process regardless the deployed amplifier type.
EDFA adaptive gain control effect analysis over an amplifier cascade in a DWDM optical system Uiara C. de Moura, Juliano R. F. Oliveira, Julio C. R. F. Oliveira, Amilcar C. Cesar SBMO IEEE MTT S International Microwave and Optoelectronics Conference Proceedings, 2013 In this paper, we analyze the EDFA adaptive gain control impact on 80 modulated C-band channels (10 Gbps NRZ) in a DWDM optical system composed of four cascaded amplifiers. System performance was evaluated in terms of channels optical signal-to-noise ratio (OSNR), noise figure (NF), bit error rate (BER), and gain flatness (GF) measurements. The adaptive EDFA scheme aims to optimize NF and GF spectra by adjusting its setpoint gain based on static information about these parameters and was improved here to prioritize NF when BER of the received signal remains under the FEC limit.
Self-configuration and self-healing for cognitive optical networks Journal of Microwaves Optoelectronics and Electromagnetic Applications, 2013
Design of passive optical networks using genetic algorithm Tany V. y Villalba, Sandro M. Rossi, Marcos P. Mokarzel, Marcos R. Salvador, Helvecio M. Almeida Neto, et al. SBMO IEEE MTT S International Microwave and Optoelectronics Conference Proceedings, 2009
Foreward Journal of Microwaves and Optoelectronics, 2005
Effects of PMD on hybrid WDM/OCDM networks F. Durand, M.A.C. Lima, A.C. Cesar, E. Moschim SBMO IEEE MTT S International Microwave and Optoelectronics Conference Proceedings, 2005
Optical Network Optimization with Transmission Impairments Based on Genetic Algorithm SBMO IEEE MTT S International Microwave and Optoelectronics Conference Proceedings, 2003
