Avec la croissance exponentielle du trafic lié au développement de la vidéo et des services d’Internet, les systèmes WDM évoluent régulièrement pour augmenter la capacité de la fibre optique. Pour atteindre cet objectif, les concepts d’«élasticité» et de grille WDM flexible ont été introduits et ont conduit au développement de nouveaux équipements optiques. Dans le cadre des réseaux flexibles, le dimensionnement de réseaux se complexifie, et les outils de dimensionnement traditionnels doivent être repensés. De plus, des problèmes stratégiques et technologiques apparaissent avec l’arrivée de ce nouveau concept. Presque tous les équipements optiques doivent être remplacés par d’autres mieux adaptés, entraînant un coût de déploiement additionnel. Ce travail propose et implémente des nouveaux outils mathématiques et logiciels de dimensionnement multicouche des réseaux optiques flexibles. Des cas d’usage intéressants à étudier dans le cadre des réseaux flexibles sont aussi identifiés et proposés dans cette thèse. De même, ce travail traite les problèmes principaux émanant de la flexibilité optique. De façon plus spécifique, nous étudions le problème de la fragmentation du spectre WDM flexible dans les réseaux d’opérateurs et proposons des solutions. De plus, nous proposons et évaluons un cas d’usage qui combine l’élasticité et la restauration optique du trafic dans un contexte multicouche. Enfin, nous identifions et proposons une solution au problème lié à l’utilisation des amplificateurs optiques dans les réseaux flexibles / With the exponential growth of traffic driven by video and Internet services, WDM systems evolve regularly to increase optical fiber capacity. To meet the relentless need for capacity, advanced features have been integrated into optical layer leading to the notion of channel flexibility (datarate elasticity, flex-grid). In contrast, with the potential benefits that optical channel flexibility provides, network dimensioning gets even more complicated, and traditional dimensioning tools should be rethought. Moreover, some strategic and technological problems appear with optical layer flexibility. Almost, all legacy equipment in the optical layer needs to be replaced by greenfield and well-adapted equipment, which requires new investments. Furthermore, spectrum fragmentation has been identified as the main disadvantage of optical layer flexibility. This work proposes and implements different mathematical multilayer tools for network dimensioning with the aim of evaluating optical layer flexibility. It identifies profitable and advantageous use cases and networking scenarios that bring forward the interest of flex-grid and elasticity. This work also deals with the potential troubles of flexibility and provides solutions to them. Specifically, we thoroughly investigate spectrum fragmentation in operator network context, and propose some traffic engineering strategies. We propose and evaluate a new use case that combines datarate elasticity and optical restoration within a multilayer context. Finally, we state a new drawback of flex-grid technology regarding the use of legacy optical amplifiers with flex-grid networks and provide a solution to overcome this problem

As redes ópticas têm evoluído de forma contínua dentro de um paradigma de aumento das taxas de transmissão e extensão dos enlaces, devido à demanda crescente de banda em função do crescimento do tráfego da Internet. Além disso, atualmente, diversas propostas vêm sendo implementadas visando torná-las mais dinâmicas e flexíveis. Uma destas propostas que atualmente está no âmbito de pesquisa e desenvolvimento refere-se às redes ópticas definidas por software (Software Defined Optical Network, SDON). Nas SDONs, o plano de controle é desacoplado do plano de encaminhamento de dados possibilitando que controladores remotos configurem em tempo real diversos parâmetros dos canais ópticos, tais como a taxa de transmissão, o formato de modulação, a largura do espectro, entre outros. Nestas redes, o sistema de controle torna-se bastante complexo, uma vez que diversos parâmetros têm que ser ajustados de forma dinâmica e autônoma, ou seja, com a mínima intervenção humana. O emprego de técnicas de inteligência computacional em tal controle possibilita a configuração autônoma dos parâmetros dos equipamentos com base em dados coletados por monitores de rede e o aprendizado, a partir de eventos passados, visando a otimização do desempenho da rede. Esta arquitetura de controle constitui um novo paradigma na evolução das redes ópticas, as denominadas Redes Ópticas Cognitivas. A escolha de uma técnica de inteligência computacional adequada para tomada de decisão em redes ópticas é importante para se obter vantagens no uso da cognição. Esta técnica deve possibilitar o aprendizado e ainda minimizar a complexidade computacional, uma vez que a configuração dos parâmetros da rede deve ocorrer em tempo real. Neste contexto, esta tese investiga o uso do algoritmo de agrupamento Fuzzy C-Means (FCM) para aprendizado e tomada de decisão em redes ópticas flexíveis de próxima geração. FCM possibilita a geração automática de regras com base na experiência adquirida no meio de operação (aprendizado) e a tomada de decisão a partir destas regras. Uma comparação de desempenho entre os algoritmos FCM e CBR (Case-Based Reasoning) é apresentada. O algoritmo CBR foi escolhido para esta comparação devido a ter sido utilizado recentemente, com sucesso, em redes ópticas cognitivas. Por fim, um conceito de rede óptica cognitiva é apresentado. / Optical networks have evolved continuously increasing the transmission rate and the extension of links due to the increased bandwidth consuming. Moreover, currently, several proposals are under development to make the next generation optical network more dynamic and flexible. The term \"flexible\" refers to the ability of dynamically adjust the parameters of the optical network such as modulation format, transmission rate, optical bandwidth and others, according with the quality of transmission of each lightpath. In this scenario, a Software Defined Optical Network (SDON) emerges as a new optical network paradigm, where the control plane is decoupled from the data plane, enabling remote controllers to configure network equipment from different hardware vendors, which allows a degree of software programmability to the network. In SDON, the control plane needs to include functionalities to operate autonomously, i.e, with minimal human intervention. The use of the computational intelligence techniques in such control plane enables the autonomous operation and learning based on past events, in order to optimize the network performance. This architecture represents a new paradigm in the evolution of optical networks, resulting in so-called Cognitive Optical Networks. The choice of a computational intelligence technique for learning and decisionmaking in such optical networks is essential to bring advantages with the use of cognition. This technique should minimize the computational complexity, since the configuration of the network parameters must occur in real time.In this context, this thesis investigates the use of Fuzzy C-Means clustering algorithm (FCM) for learning and decision-making in the software defined optical networks context. FCM enables the automatic generation of rules, based on the experience gained during the network operation. Then, these rules are used by the control plane to take decisions about the lightpaths\' configuration. A comparison of performance between the FCM and the CBR (Case-Based Reasoning) algorithm. CBR algorithm was chosen because it has been successfully used in cognitive optical networks. Finally, we propose a concept for optical cognitive network.

Made available in DSpace on 2016-04-04T18:31:40Z (GMT). No. of bitstreams: 1 Paulo Cesar Barreto da Silva.pdf: 3934588 bytes, checksum: cbbb71074cd6c370e06fd00f5d3eabce (MD5) Previous issue date: 2014-02-05 / New optical wavelength division multiplexing (WDM) networks are expected to utilize multiple bit rate channels. Moreover, each individual channels may carry over 200 Gb/s and occupy a bandwidth that exceeds the 50-GHz WDM fixed grid. In this scenario, spectral efficiency becomes an important issue and new channel allocation schemes need to be considered. An attractive solution for this problem is the utilization of a WDM grid with variable channel spacing, in the so-called elastic optical network (EON) approach. The main goal of this work is to propose algorithms to solve the spectral efficiency issue in emerging optical WDM networks. Such proposals are divided in two classes. The first one consists of allocating different spectral blocks for channels with different bit rates; this is named as the spectrum block division (SBD) scheme. The second class of our proposals is based on EON schemes. In this case, not only the enhancement of a previously reported algorithm, the Maximize Total Link Spectrum Consecutiveness (MTLSC) algorithm, is considered but also a new algorithm, the Shortest Path with Maximum number of Free Frequency Slot Units (SPMFF) is proposed. Another contribution of this work is the development of an EON simulator, called EONSim, based on JAVA programming language. This simulator was properly tested and reproduced the results of literature papers within a very good accuracy. All of our results were obtained with the aid of EONSim and suggest that the proposed algorithms yield a bandwidth occupation gain that varies from 7 to 18% higher than the one provided by traditional first-fit (FF) algorithms. Such algorithms also provide a blocking probability that is 2 to 8% lower than in FF strategy. On the other hand, it is found that algorithms with higher spectral efficiency use an average number of hops that is up to 16% higher than those necessary for algorithms that do not take bandwidth into account in channel allocation. / Novas redes ?pticas de multiplexa??o por divis?o de comprimento de onda (Wavelength Division Multiplexing, WDM) podem utilizar v?rios canais com taxas diferentes de bits. Al?m disso, cada um dos canais individuais pode transportar mais de 200 Gb/s e ocupar uma largura de banda que excede a grade fixa de 50 GHz da rede WDM. Neste cen?rio, a efici?ncia espectral torna-se uma quest?o importante e novos esquemas de aloca??o de canais precisam ser considerados. Uma solu??o atrativa para este problema ? a utiliza??o de uma rede WDM com espa?amento de canal vari?vel, na abordagem chamada rede ?ptica el?stica (EON). O principal objetivo do presente trabalho ? propor algoritmos para resolver a quest?o da efici?ncia espectral em redes ?pticas WDM emergentes. Tais propostas s?o divididas em duas classes. A primeira consiste em alocar diferentes blocos de espectro para canais com diferentes taxas de bits, o que ? apontado como esquema de divis?o de blocos de espectro (Spectrum Block Division, SBD). A segunda classe ? baseada em esquemas de EON. Neste caso, n?o s? o aperfei?oamento de um algoritmo previamente descrito por WANG (2012), o algoritmo Maximize Total Link Spectrum Consecutiveness (MTLSC), ? considerado, mas tamb?m um novo algoritmo, o Shortest Path with Maximum number of Free Frequency Slot Units (SPMFF) ? proposto. Outra contribui??o deste trabalho ? o desenvolvimento de um simulador de EON, chamado EONSim, com base na linguagem de programa??o JAVA. Este simulador foi devidamente testado e foram reproduzidos os resultados de WANG (2012) dentro de uma precis?o muito boa. Todos os resultados foram obtidos com a ajuda de EONSim e sugerem que os algoritmos propostos produzem um ganho de ocupa??o de banda, que varia de 7 a 18% mais elevada do que a fornecida pelo tradicional algoritmo First Fit (FF). Tais algoritmos tamb?m proporcionam uma probabilidade de bloqueio, que ? de 2 a 8% mais baixa do que na estrat?gia FF. Por outro lado, verifica-se que os algoritmos de melhor ocupa??o espectral utilizam um n?mero m?dio de saltos at? 16% mais elevado do que os necess?rios para os algoritmos de menor caminho, que n?o levam em conta a largura de banda de atribui??o de canal.

A busca de sistemas de comunicação eficientes e econômicos é cada vez maior, principalmente com o aumento da demanda por tráfego e banda de transmissão. Conhecidas pela utilização eficiente de largura de banda, as redes ópticas de segmentação espectral flexível têm sido intensamente estudadas e são consideradas boas candidatas para a próxima geração de redes. Tais redes flexíveis utilizam formatos de modulação multinível e multiplexação multiportadora. Sistemas com alta capacidade de transmissão devem ser extremamente confiáveis, pois a falha em um dispositivo ou enlace da rede acarreta enorme perda de dados. Por isso, as técnicas de proteção e restauração do tráfego devem ser eficientes, de modo a garantir a sobrevivência da rede. Neste trabalho, foi desenvolvido um algoritmo capaz de lidar com cada requisição de conexão, encontrar um caminho óptico para transmissão e reservar outro caminho para recuperação do tráfego em caso de falha na rede. A seleção dos caminhos primário e de proteção utiliza a técnica smart-fit, que escolhe a solução com menor custo final, definido pela distância da rota percorrida somada ao custo do índice inicial da faixa espectral alocada, buscando equilibrar a escolha entre a posição no espectro e rota escolhida. Além disso, são definidos custos diferentes para slots de frequência livres e compartilhados, a fim de incentivar o compartilhamento espectral em caminhos de proteção. Dentre as técnicas de alocação espectral, a varredura com janela espectral varre o espectro em todos os enlaces da rota, slot por slot, em busca de uma faixa livre com tamanho suficiente para atender uma demanda. Neste trabalho, foi desenvolvida uma técnica chamada busca lógica, que lida simultaneamente com todos os enlaces da rota ao realizar operações lógicas com seus espectros. Em seguida, é realizada uma convolução entre a janela espectral, com tamanho da demanda, e o espectro resultante. A partir desse resultado, é possível saber as posições no espectro onde a demanda poderá ser alocada. Tal técnica, como será demonstrado, é mais veloz que a varredura com janela espectral. Para garantir a eficácia e confiabilidade do algoritmo, utilizando o software MATLAB, avaliou-se a probabilidade de bloqueio e probabilidade de bloqueio de banda, a fragmentação espectral média na rede, o grau de compartilhamento, a taxa de utilização espectral e a taxa de capacidade reservada. O algoritmo desenvolvido foi capaz de organizar o tráfego na rede de modo ordenado e pouco fragmentado, além de utilizar de maneira eficiente os recursos destinados à proteção. / The search for efficient and economical communication systems is increasing, especially with the increased demand for traffic and bandwidth transmission. The elastic optical networks, well known for their efficient using of bandwidth, have been thoroughly studied and are considered good candidates for the next generation networks. Such flexible networks use multilevel modulation formats and multicarrier multiplexing. Systems with high transmission capacity should be extremely reliable, as a failure in a device or link brings huge data loss. Therefore, traffic protection and restoration techniques should be efficient, to ensure network survivability. In this work, we propose an algorithm capable of managing each connection request, finding an optical path for transmission and a protection path to recover traffic in case of network failure. The selection of the primary and protection path uses the smart-fit technique, which chooses the solution with the lower final cost, defined by the route\'s distance plus the index\'s cost of the first slot of the allocated spectrum, in order to balance the choice between the position in the spectrum and the chosen route. In addition, different costs for free or shared frequency slots are defined, so as to encourage spectral sharing in protection paths. Among the spectrum allocation techniques, scanning with spectrum window scans the spectrum in all links of the route, slot by slot, searching for a free band large enough to meet the demand. In this work, we developed a new technique, called logical search, that simultaneously deals with all the links in the route, by performing logical operations with them. Then, a convolution is performed between a spectrum window, with the same size of the demand, and the resulting spectrum. From this result, it is possible to know all the positions in the spectrum where the demand may fit. This technique, as will be shown, is faster than the scan with spectrum window. To guarantee the efficiency and reliability of the algorithm, using the MATLAB software, we evaluated the blocking probability and bandwidth blocking probability, the average spectral fragmentation in the network, the shareability ratio, the spectral utilization ratio and the spare capacity ratio. The developed algorithm was able to organize the traffic in an orderly and less fragmented way, and use the protection resources efficiently.

A busca de sistemas de comunicação eficientes e econômicos é cada vez maior, principalmente com o aumento da demanda por tráfego e banda de transmissão. Conhecidas pela utilização eficiente de largura de banda, as redes ópticas de segmentação espectral flexível têm sido intensamente estudadas e são consideradas boas candidatas para a próxima geração de redes. Tais redes flexíveis utilizam formatos de modulação multinível e multiplexação multiportadora. Sistemas com alta capacidade de transmissão devem ser extremamente confiáveis, pois a falha em um dispositivo ou enlace da rede acarreta enorme perda de dados. Por isso, as técnicas de proteção e restauração do tráfego devem ser eficientes, de modo a garantir a sobrevivência da rede. Neste trabalho, foi desenvolvido um algoritmo capaz de lidar com cada requisição de conexão, encontrar um caminho óptico para transmissão e reservar outro caminho para recuperação do tráfego em caso de falha na rede. A seleção dos caminhos primário e de proteção utiliza a técnica smart-fit, que escolhe a solução com menor custo final, definido pela distância da rota percorrida somada ao custo do índice inicial da faixa espectral alocada, buscando equilibrar a escolha entre a posição no espectro e rota escolhida. Além disso, são definidos custos diferentes para slots de frequência livres e compartilhados, a fim de incentivar o compartilhamento espectral em caminhos de proteção. Dentre as técnicas de alocação espectral, a varredura com janela espectral varre o espectro em todos os enlaces da rota, slot por slot, em busca de uma faixa livre com tamanho suficiente para atender uma demanda. Neste trabalho, foi desenvolvida uma técnica chamada busca lógica, que lida simultaneamente com todos os enlaces da rota ao realizar operações lógicas com seus espectros. Em seguida, é realizada uma convolução entre a janela espectral, com tamanho da demanda, e o espectro resultante. A partir desse resultado, é possível saber as posições no espectro onde a demanda poderá ser alocada. Tal técnica, como será demonstrado, é mais veloz que a varredura com janela espectral. Para garantir a eficácia e confiabilidade do algoritmo, utilizando o software MATLAB, avaliou-se a probabilidade de bloqueio e probabilidade de bloqueio de banda, a fragmentação espectral média na rede, o grau de compartilhamento, a taxa de utilização espectral e a taxa de capacidade reservada. O algoritmo desenvolvido foi capaz de organizar o tráfego na rede de modo ordenado e pouco fragmentado, além de utilizar de maneira eficiente os recursos destinados à proteção. / The search for efficient and economical communication systems is increasing, especially with the increased demand for traffic and bandwidth transmission. The elastic optical networks, well known for their efficient using of bandwidth, have been thoroughly studied and are considered good candidates for the next generation networks. Such flexible networks use multilevel modulation formats and multicarrier multiplexing. Systems with high transmission capacity should be extremely reliable, as a failure in a device or link brings huge data loss. Therefore, traffic protection and restoration techniques should be efficient, to ensure network survivability. In this work, we propose an algorithm capable of managing each connection request, finding an optical path for transmission and a protection path to recover traffic in case of network failure. The selection of the primary and protection path uses the smart-fit technique, which chooses the solution with the lower final cost, defined by the route\'s distance plus the index\'s cost of the first slot of the allocated spectrum, in order to balance the choice between the position in the spectrum and the chosen route. In addition, different costs for free or shared frequency slots are defined, so as to encourage spectral sharing in protection paths. Among the spectrum allocation techniques, scanning with spectrum window scans the spectrum in all links of the route, slot by slot, searching for a free band large enough to meet the demand. In this work, we developed a new technique, called logical search, that simultaneously deals with all the links in the route, by performing logical operations with them. Then, a convolution is performed between a spectrum window, with the same size of the demand, and the resulting spectrum. From this result, it is possible to know all the positions in the spectrum where the demand may fit. This technique, as will be shown, is faster than the scan with spectrum window. To guarantee the efficiency and reliability of the algorithm, using the MATLAB software, we evaluated the blocking probability and bandwidth blocking probability, the average spectral fragmentation in the network, the shareability ratio, the spectral utilization ratio and the spare capacity ratio. The developed algorithm was able to organize the traffic in an orderly and less fragmented way, and use the protection resources efficiently.

As redes ópticas têm evoluído de forma contínua dentro de um paradigma de aumento das taxas de transmissão e extensão dos enlaces, devido à demanda crescente de banda em função do crescimento do tráfego da Internet. Além disso, atualmente, diversas propostas vêm sendo implementadas visando torná-las mais dinâmicas e flexíveis. Uma destas propostas que atualmente está no âmbito de pesquisa e desenvolvimento refere-se às redes ópticas definidas por software (Software Defined Optical Network, SDON). Nas SDONs, o plano de controle é desacoplado do plano de encaminhamento de dados possibilitando que controladores remotos configurem em tempo real diversos parâmetros dos canais ópticos, tais como a taxa de transmissão, o formato de modulação, a largura do espectro, entre outros. Nestas redes, o sistema de controle torna-se bastante complexo, uma vez que diversos parâmetros têm que ser ajustados de forma dinâmica e autônoma, ou seja, com a mínima intervenção humana. O emprego de técnicas de inteligência computacional em tal controle possibilita a configuração autônoma dos parâmetros dos equipamentos com base em dados coletados por monitores de rede e o aprendizado, a partir de eventos passados, visando a otimização do desempenho da rede. Esta arquitetura de controle constitui um novo paradigma na evolução das redes ópticas, as denominadas Redes Ópticas Cognitivas. A escolha de uma técnica de inteligência computacional adequada para tomada de decisão em redes ópticas é importante para se obter vantagens no uso da cognição. Esta técnica deve possibilitar o aprendizado e ainda minimizar a complexidade computacional, uma vez que a configuração dos parâmetros da rede deve ocorrer em tempo real. Neste contexto, esta tese investiga o uso do algoritmo de agrupamento Fuzzy C-Means (FCM) para aprendizado e tomada de decisão em redes ópticas flexíveis de próxima geração. FCM possibilita a geração automática de regras com base na experiência adquirida no meio de operação (aprendizado) e a tomada de decisão a partir destas regras. Uma comparação de desempenho entre os algoritmos FCM e CBR (Case-Based Reasoning) é apresentada. O algoritmo CBR foi escolhido para esta comparação devido a ter sido utilizado recentemente, com sucesso, em redes ópticas cognitivas. Por fim, um conceito de rede óptica cognitiva é apresentado. / Optical networks have evolved continuously increasing the transmission rate and the extension of links due to the increased bandwidth consuming. Moreover, currently, several proposals are under development to make the next generation optical network more dynamic and flexible. The term \"flexible\" refers to the ability of dynamically adjust the parameters of the optical network such as modulation format, transmission rate, optical bandwidth and others, according with the quality of transmission of each lightpath. In this scenario, a Software Defined Optical Network (SDON) emerges as a new optical network paradigm, where the control plane is decoupled from the data plane, enabling remote controllers to configure network equipment from different hardware vendors, which allows a degree of software programmability to the network. In SDON, the control plane needs to include functionalities to operate autonomously, i.e, with minimal human intervention. The use of the computational intelligence techniques in such control plane enables the autonomous operation and learning based on past events, in order to optimize the network performance. This architecture represents a new paradigm in the evolution of optical networks, resulting in so-called Cognitive Optical Networks. The choice of a computational intelligence technique for learning and decisionmaking in such optical networks is essential to bring advantages with the use of cognition. This technique should minimize the computational complexity, since the configuration of the network parameters must occur in real time.In this context, this thesis investigates the use of Fuzzy C-Means clustering algorithm (FCM) for learning and decision-making in the software defined optical networks context. FCM enables the automatic generation of rules, based on the experience gained during the network operation. Then, these rules are used by the control plane to take decisions about the lightpaths\' configuration. A comparison of performance between the FCM and the CBR (Case-Based Reasoning) algorithm. CBR algorithm was chosen because it has been successfully used in cognitive optical networks. Finally, we propose a concept for optical cognitive network.

La tolérance aux pannes est une propriété très importante des réseaux optiques de nouvelle génération. Cette thèse aborde la conception des mécanismes de protection contre des pannes liées à la défaillance d’une fibre optique ou à une catastrophe naturelle. Deux systèmes de protection classiques, à savoir la protection par des cycles préconfigurés(p-cycles) et la protection du chemin de secours, sont étudiés pour atteindre une efficacité de protection élevée, tout en considérant le coût de l’équipement optique,la consommation d’énergie et l’utilisation de la ressource spectrale. Ces problèmes de survivabilité sont d’abord formulés en utilisant la programmation linéaire en nombres entiers (PLNE), et ensuite résolus soit par algorithmes heuristiques, soit par une approche de décomposition.La panne d’une seule fibre optique est le scénario le plus courant. Nous allons donc considérer d’abord des pannes liées à la défaillance d’une fibre optique dans les réseaux optiques multi-débit. Pour réduire le coût des transpondeurs, un système de protection par p-cycles de longueur adaptable et peu coûteux est proposé. Spécifiquement, les p cycles de longueur limitée sont conçus pour utiliser un débit approprié en fonction du coût du transpondeur et de la portée de transmission. Un modèle de programmation linéaire en nombres entiers (PLNE) sans énumération des cycles candidats est formulé pour générer directement les p-cycles de coût dépenses d’investissement minimum. De plus, un algorithme GPA (Graph Partitioning in Average) et un algorithme d’estimation des nombres de cycles (EI) sont développés pour rendre le modèle PLNE plus efficace au niveau du temps de calcul. En ce qui concerne la consommation d’énergie des réseaux optiques élastiques résilients,nous proposons d’utiliser un schéma de p-cycles dirigés, efficaces en énergie,pour protéger le trafic asymétrique. En raison de l’avantage de distinguer du volume de trafic dans les deux directions, les p-cycles dirigés consomment peu d’énergie en attribuant de créneaux ou slots du spectre et des formats de modulation différents à chaque direction.Un modèle PLNE est formulé pour minimiser la consommation d’énergie totale sous contraintes de génération du cycle dirigée, d’allocation de spectre, d’adaptation de modulation et de capacité de protection. Pour le passage à l’échelle, le modèle PLNE est décomposé en deux sous-problèmes: une méthode d’énumération de cycles améliorée et un modèle PLNE simplifié pour la sélection des cycles. Nous avons montré que les p-cycles dirigés obtiennent une meilleure performance comparant les p-cyclesiii non-dirigés pour le trafic asymétrique en termes de la consommation d’énergie et de l’utilisation du spectre.Afin d’améliorer l’efficacité d’utilisation du spectre dans réseaux optiques élastiques, une protection par p-cycles (SS-p-cycle) à spectre partagé est proposée. Les SS-p-cycles permettent de réduire l’utilisation du spectre et le taux de fragmentation spectrale en exploitant un partage de spectre spécial entre plusieurs p-cycles ayant des liens communs.Les modèles PLNE est conçus dans les cas "sans" ou "avec" conversion spectrale afin de minimiser l’utilisation du spectre. Ces modèles peuvent obtenir la solution optimale pour un petit réseaux optiques élastiques, et une heuristique efficace est développée pour résoudre les instances à grande échelle. Les résultats de simulations montrent que les SS-p-cycles ont des avantages significatifs pour réduire l’utilisation de la ressource spectrale et la défragmentation des fréquence. De plus, la conversion du spectre aide les SS-p-cycles à acquérir une meilleure utilisation du spectre. / Network survivability is a critical issue for optical networks to maintain resilience against network failures. This dissertation addresses several survivability design issues against single link failure and large-scale disaster failure in optical networks. Twoclassic protection schemes, namely pre-configured Cycles (p-Cycle) protection and path protection, are studied to achieve high protection capacity efficiency while taking intoaccount the equipment cost, power consumption and resource usage. These survivable network design problems are first formulated by mathematical models and then offered scalable solutions by heuristic algorithms or a decomposition approach.We first consider single link failure scenario. To cut the multi-line rates transponderscost in survivable Mixed-Line-Rate (MLR) optical networks, a distance-adaptive andlow Capital Expenditures (CAPEX) cost p-cycle protection scheme is proposed withoutcandidate cycle enumeration. Specifically, path-length-limited p-cycles are designed touse appropriate line rate depending on the transponder cost and transmission reach.A Mixed Integer Linear Programming (MILP) model is formulated to directly generate the optimal p-cycles with the minimum CAPEX cost. Additionally, Graph Partitioning in Average (GPA) algorithm and Estimation of cycle numbers (EI) algorithm are developed to make the proposed MILP model scalable, which are shown to be efficient.Regarding the power consumption in survivable Elastic Optical Networks (EONs),power-efficient directed p-cycle protection scheme for asymmetric traffic is proposed.Owing to the advantage of distinguishing traffic amount in two directions, directedp-cycles consume low power by allocating different Frequency Slots (FSs) and modulation formats for each direction. An MILP model is formulated to minimize total power consumption under constraints of directed cycle generation, spectrum assignment,modulation adaptation and protection capacity allocation. To increase the scalability, the MILP model is decomposed into an improved cycle enumeration and a simplified Integer Linear Programming (ILP) model. We have shown that the directedp-cycles out perform the undirected p-cycles in terms of power consumption and spectrum usage.In order to improve the spectrum usage efficiency in p-cycle protection, a SpectrumShared p-cycle (SS-p-cycle) protection is proposed for survivable EONs with and without spectrum conversion. SS-p-cycles permit to reduce spectrum usage and Spectrum Fragmentation Ratio (SFR) by leveraging potential spectrum sharing among multiplep-cycles that have common link(s). The ILP formulations are designed in both cases of with and without spectrum conversion to minimize the spectrum usage of SS-p-cycleswhich can obtain the optimal solution in small instance, and a time-efficient heuristic algorithm is developed to solve large-scale instances. Simulation results show that SSp-cycles have significant advantages on both spectrum allocation and defragmentation efficiency, and the spectrum conversion does help SS-p-cycle design to acquire better spectrum utilization.

Avec l’avènement de l’ère intellectuelle et de l’Internet of Everything (IoE), les besoins de la communication mondiale et des applications diverses ont explosé. Cette révolution exige que les futurs réseaux de communication soient plus efficaces, intellectuels, agiles et évolutifs. De nombreuses technologies réseau sont apparues pour répondre à la tendance des réseaux de communication de nouvelle génération tels que les réseaux optiques élastiques (EONs) et la virtualisation de réseau. De nombreux défis apparaissent avec les apparences de la nouvelle architecture et de la nouvelle technologie, telles que le routage et l’allocation de ressource spectrale (RSA) dans les EONs et l’intégration de réseaux virtuels (Virtual Network Embedding ou VNE) dans la virtualisation de réseau.Cette thèse traite la conception et l’analyse d’algorithmes d’approximation dans trois problèmes d’optimation du RSA et du VNE : les impacts de la distribution du trafic et de la topologie du réseau sur le routage tout optique, de l’allocation de ressource spectrale, et du VNE dans les topologies des chemins et cycles. Pour le routage tout optique, le premier sous-problème du RSA, il y a toujours un problème en suspens concernant l’impact de la distribution du trafic et de la topologie EON. Comme le routage tout optique joue un rôle essentiel pour la performance globale de la RSA, cette thèse fournit une analyse approfondi théorique sur ces impacts. Pour le deuxième sous-problème du RSA, l’allocation de ressource spectrale, deux chemins optiques quelconques partageant des fibres optiques communes pourraient devoir être isolés dans le domaine spectral avec une bande de garde appropriée pour empêcher la diaphonie et / ou réduire les menaces de sécurité de la couche physique. Cette thèse considère le scénario dans lequel les exigences de bandes de garde réelles optiques sont différentes pour différentes paires de chemins, et étudie comment affecter les ressources spectrales efficacement dans une telle situation. L’hétérogénéité de la topologie des demandes de réseau virtuel (VNR) est un facteur important qui entrave les performances de la VNE. Cependant, dans de nombreuses applications spécialisées, les VNR ont des caractéristiques structurelles communes par exemple, des chemins et des cycles. Pour obtenir de meilleurs résultats, il est donc essentiel de concevoir des algorithmes dédiés pour ces applications en tenant compte des caractéristiques topologiques. Dans cette thèse, nous prouvons que les problèmes VNE dans les topologies de chemin et de cycle sont NP-difficiles. Afin de les résoudre, nous proposons des algorithmes efficaces également analysons leurs ratios d’approximation / With the coming of intellectual era and Internet of Everything (IoE), the needs of worldwide communication and diverse applications have been explosively growing. This information revolution requires the future communication networks to be more efficient, intellectual, agile and scalable. Many technologies have emerged to meet the requirements of next generation communication networks such as Elastic Optical Networks (EONs) and networking virtualization. However, there are many challenges coming along with them, such as Routing and Spectrum Assignment (RSA) in EONs and Virtual Network Embedding (VNE) in network virtualization. This dissertation addresses the algorithm design and analysis for these challenging problems: the impacts of traffic distribution and network topology on lightpath routing, the distance spectrum assignment and the VNE problem for paths and cycles.For lightpath routing, the first subproblem of the RSA, there is always a pending issue that how the changes of the traffic distribution and EON topology affect it. As the lightpath routing plays a critical role in the overall performance of the RSA, this dissertation provides a thoroughly theoretical analysis on the impacts of the aforementioned two key factors. To this end, we propose two theoretical chains, and derive the optimal routing scheme taking into account two key factors. We then treat the second subproblem of RSA, namely spectrum assignment. Any two lightpaths sharing common fiber links might have to be isolated in the spectrum domain with a proper guard-band to prevent crosstalk and/or reduce physical-layer security threats. We consider the scenario with diverse guard-band sizes, and investigate how to assign the spectrum resources efficiently in such a situation. We provide the upper and lower bounds for the optimal solution of the DSA, and further devise an efficient algorithm which can guarantee approximation ratios in some graph classes.The topology heterogeneity of Virtual Network Requests (VNRs) is one important factor hampering the performance of the VNE. However, in many specialized applications, the VNRs are of some common structural features e.g., paths and cycles. To achieve better outcomes, it is thus critical to design dedicated algorithms for these applications by accounting for topology characteristics. We prove the NP-Harness of path and cycle embeddings. To solve them, we propose some efficient algorithms and analyze their approximation ratios.

Made available in DSpace on 2016-04-04T18:31:45Z (GMT). No. of bitstreams: 1 RICARDO VICENTE FAVERO.pdf: 1635235 bytes, checksum: d51f441103ff9f2ad94576b0bdd11b9f (MD5) Previous issue date: 2015-11-13 / The wavelength division multiplexing (WDM) optical network accommodates traffic load in 100, 50 and 25 GHz fixed-grid channel. This fixed-grid condition limits the number of lightpath for each optical fiber (80 channels in c-band) and doesn t allow bit rates with bandwidth over 50 GHz. To improve these factors, the flexibly grid elastic optical network (EON) was proposed, aiming accommodate adequately bit rates demand by customers. This proposal allows efficiency bandwidth and also expands bit rates supported by network. The EON bandwidth efficiency is obtained by routing and spectrum assignment (RSA) algorithm which acts to maximize the bandwidth utilization. Even with RSA, EON still show fragmentation rates substantial. In this context, this work proposes a new elastic optical network defragmentation strategy. This defragmentation strategy selects the lightpaths from the most fragmented link. The defragmentation process is based on RSA (DF-RSA). The DF-RSA determines the new position to reallocate the connection selected and performs. Using computer simulation of EON operation, were submitted several bit rates demands with different modulations format and traffic load between 45 and 100 erlang. Two simulation scenarios were proposed. The first one, compare the performance of RSA algorithm first-fit (FF) with and without defragmentation. It was considered as defragmentation process beginning point (trigger), the number of release connections. This scenario had until 48% of relative gain on minimizing blocking probability. The second scenario compared the performance of the follows RSA algorithms: FF, Maximize Path Spectrum Consecutiveness (MPSC) and Fragmentation Aware (FA). The FF was evaluated with and without defragmentation process and the others just with defragmentation process. The trigger employed was eventual connection blocked. The second scenario reached over the 80% blocking probability relative gain in 50 erlang traffic load. We conclude that the new elastic optical network defragmentation offers substantial gain bandwidth utilization and consequently blocking probability reduction. / As redes ?pticas de multiplexa??o por divis?o de comprimento de onda (WDM) acomodam o tr?fego em canais fixos de 100, 50 e 25 GHz. Esta condi??o de grade fixa limita o n?mero de conex?es por fibra ?ptica (80 canais na banda C), e n?o permite taxas de transmiss?o com ocupa??o espectral acima de 50 GHz. Para melhorar estes fatores, foram propostas as redes ?pticas el?sticas (EON) com canais flex?veis, visando acomodar adequadamente as taxas de transmiss?o demandas pelos usu?rios. Esta proposta possibilita maior efici?ncia espectral e tamb?m amplia as taxas de transmiss?o suportadas pela rede. A efici?ncia espectral nas EONs ? obtida com os algoritmos de roteamento e atribui??o espectral (Routing and Spectrum Assignment, RSA), que atuam para maximizar seu uso espectral. Mesmo com o uso de RSAs, as EONs ainda apresentam ?ndices de fragmenta??o consider?veis. Neste contexto, este trabalho prop?e uma nova estrat?gia de desfragmenta??o espectral para EONs. Esta proposta de desfragmenta??o seleciona as conex?es do enlace mais fragmentado, para o processo de desfragmenta??o. A desfragmenta??o baseia seu processo de realoca??o de conex?es por RSA, denominado DF-RSA. O DF-RSA determina a nova posi??o e realiza a realoca??o das conex?es. Com o uso de simula??o computacional da opera??o de funcionamento da EON, foram submetidas v?rias demandas de taxas de transmiss?o com diferentes modula??es e cargas de tr?fego entre 45 e 100 erlang. Foram propostos dois cen?rios de simula??o. No primeiro, foi comparado o desempenho do algoritmo RSA First-Fit (FF) com e sem o processo de desfragmenta??o. Considerou-se como ponto de inicio das desfragmenta??es (gatilho), o n?mero de conex?es liberadas da rede. Neste cen?rio obteve-se at? 48% de ganho relativo na minimiza??o da probabilidade de bloqueio. No segundo cen?rio, foram comparados os desempenhos dos seguintes algoritmos RSAs: FF, Maximize Path Spectrum Consecutiveness (MPSC) e Fragmentation Aware (FA). O FF foi avaliado com e sem desfragmenta??o e os demais somente com desfragmenta??o. Empregou-se como gatilho o eventual bloqueio de conex?o. O segundo cen?rio alcan?ou mais de 80% de ganho relativo de probabilidade de bloqueio para carga de tr?fego de 50 erlang. Conclui-se que a nova estrat?gia de desfragmenta??o para EONs oferece ganhos consider?veis na utiliza??o espectral e, consequentemente, redu??o na probabilidade de bloqueio.

Submitted by Fernanda Ciolfi (fernanda.ciolfi@puc-campinas.edu.br) on 2016-08-16T18:29:14Z No. of bitstreams: 1 Juliano Silva Mar?al.pdf: 14418180 bytes, checksum: e94d4d5adc61aeda0c174d60cabfa216 (MD5) / Made available in DSpace on 2016-08-16T18:29:14Z (GMT). No. of bitstreams: 1 Juliano Silva Mar?al.pdf: 14418180 bytes, checksum: e94d4d5adc61aeda0c174d60cabfa216 (MD5) Previous issue date: 2016-06-27 / Pontif?cia Universidade Cat?lica de Campinas ? PUC Campinas / In the current technological environment from the point of view of optical transmission, multiplexing technologies for wavelength division (Wavelength Oivision Multiplexing - WOM) working with fixed 50 GHz grid will not support the existing demand for the next 10 years. This scarcity occurs due to several reasons: channels with fixed width of 50 GHz, limitation of 80 optical channels per link, maximum transmission capacity of 100 Gb / s per channel. In search of viable forward solutions to this paradigm that presents technology proposal comes known as Optical Networks Elastic (Elastic Optical Network - EON), a technology that enables optical channels with bandwidths of 3,125, 6,250, 12,500, 25 and 50 GHz transmission capability of rates supported by the WOM yet rates of 200 Gb / s, 400 Gb / s and 1 Tb / s, and can be implemented on the same optical infrastructure WOM already existing thus corresponding to a highly cost less if compared to deployment of new networks. The efficiency of this proposed new technology is mainly in routing algorithms and spectral assignment (Routing and Spectrum Assignment - RSA) aimed at maximizing network availability of resources by reducing the likelihood of blocking. The use of RSAs on the EONS networks fragmentation results in the generation of reducing the availability of network resources. Within this scenario, the present work-studies the feasibility of defragmentation use based on the relocation of the link to submit further fragmentation indexo This paper studies the adoption of two indices: consecutiveness index and more FSUs index busy, both indexes allow the selection of the link to be defragmented. The results of this study were obtained from the development of version 5 of the simulator Elastic Optical Network Simulator (EONSim). To obtain the results, different transmission rates were evenly distributed for each traffic load between 45 and 100 Erlang (E), the First-Fit RSA (FF) was adopted for ali the simulations to reduce the defragmentation processing were performed from an R number of released connections (R = 10, R = 50 and R = 100). For the scenario using the consecutiveness index gain of up to 44 was measured to 55 E and average gain of 15 compared to results without defragmentation scenario for the use of higher index number of occupied FSUs, gain was observed 26 to 55 E and average gain of 10. From the results it can be concluded that the adoption of defragmentation strategies for eons networks are likely to be used since they have decreased blocking probability and increase the availability of network resources. / Na atual conjuntura tecnol?gica do ponto de vista de transmiss?es ?pticas, as tecnologias de multiplexa??o por divis?o de comprimento de onda (Wavelength Oivision Multiplexing - WOM) que trabalham com grade fixa de 50 GHz n?o ir?o comportar a demanda existente para os pr?ximos 10 anos. Esta escassez ocorre por v?rios motivos: canais com largura fixa de 50 GHz, limita??o de 80 canais ?pticos por enlace, capacidade m?xima de transmiss?o de 100 Gb/s por canal. Em busca de solu??es vi?veis frente a este paradigma que se apresenta, surge a proposta da tecnologia conhecida como Redes ?pticas El?sticas (Elastic Optical Network- EON), uma tecnologia que permite canais ?pticos com larguras de banda de 3.125, 6.250, 12.500, 25 e 50 GHz, capacidade de transmiss?o das taxas suportadas pela tecnologia WDM e ainda taxas de 200 Gb/s, 400 Gb/s e 1 Tb/s, e podem ser implantadas sobre a mesma infraestrutura ?ptica WDM j? existente correspondendo assim a um custo altamente inferior se comparado a implanta??o de novas redes. A efici?ncia desta nova proposta de tecnologia est? principalmente nos algoritmos de roteamento e atribui??o espectral (Routing and Spectrum Assignment - RSA) que visam a maximiza??o dos recursos de disponibilidade da rede atrav?s da diminui??o da probabilidade de bloqueio. O uso do RSA resulta na gera??o de fragmenta??o diminuindo a disponibilidade de recursos da rede. Dentro deste cen?rio, o presente trabalho estuda a viabilidade do uso de desfragmenta??o baseada na realoca??o sobre o enlace que apresentar maior ?ndice de fragmenta??o e analisa a ado??o de dois ?ndices: ?ndice de consecutividade e ?ndice de maior n?mero de FSUs ocupados, para a sele??o do enlace a ser desfragmentado. Os resultados deste estudo foram obtidos a partir do desenvolvimento da vers?o 5 do simulador Elastic Op tica I Network Simulator (EONSim). Para a obten??o dos resultados, diferentes taxas de transmiss?o foram distribu?das uniformemente para cada uma carga de tr?fego entre 45 e 100 erlang (E), o RSA First-Fit (FF) foi adotado para todas as simula??es, para diminuir o processamento as desfragmenta??es foram executadas a partir de um n?mero R de conex?es liberadas (R= 10, R= 50 e R= 100). Para o cen?rio utilizando o ?ndice de consecutividade, foi aferido ganho de at? 44 para 55 E e ganho m?dio de 15 quando comparado aos resultados do cen?rio sem desfragmenta??o, para o uso do ?ndice de maior n?mero de FSUs ocupados, foi observado ganho de 26 para 55 E com ganho m?dio de 10. A partir dos resultados obtidos ? poss?vel concluir que a ado??o de estrat?gias de desfragmenta??o para redes EONs s?o pass?veis de serem utilizadas pois apresentam diminui??o da probabilidade de bloqueio e aumento da disponibilidade dos recursos da rede