Dynamic bandwidth allocation in multi-class IP networks using utility functions.

PhDAbstact not availableFujitsu Telecommunications Europe Lt

Traffic engineering in dynamic optical networks

Traffic Engineering (TE) refers to all the techniques a Service Provider employs to improve the efficiency and reliability of network operations. In IP over Optical (IPO) networks, traffic coming from upper layers is carried over the logical topology defined by the set of established lightpaths. Within this framework then, TE techniques allow to optimize the configuration of optical resources with respect to an highly dynamic traffic demand. TE can be performed with two main methods: if the demand is known only in terms of an aggregated traffic matrix, the problem of automatically updating the configuration of an optical network to accommodate traffic changes is called Virtual Topology Reconfiguration (VTR). If instead the traffic demand is known in terms of data-level connection requests with sub-wavelength granularity, arriving dynamically from some source node to any destination node, the problem is called Dynamic Traffic Grooming (DTG). In this dissertation new VTR algorithms for load balancing in optical networks based on Local Search (LS) techniques are presented. The main advantage of using LS is the minimization of network disruption, since the reconfiguration involves only a small part of the network. A comparison between the proposed schemes and the optimal solutions found via an ILP solver shows calculation time savings for comparable results of network congestion. A similar load balancing technique has been applied to alleviate congestion in an MPLS network, based on the efficient rerouting of Label-Switched Paths (LSP) from the most congested links to allow a better usage of network resources. Many algorithms have been developed to deal with DTG in IPO networks, where most of the attention is focused on optimizing the physical resources utilization by considering specific constraints on the optical node architecture, while very few attention has been put so far on the Quality of Service (QoS) guarantees for the carried traffic. In this thesis a novel Traffic Engineering scheme is proposed to guarantee QoS from both the viewpoint of service differentiation and transmission quality. Another contribution in this thesis is a formal framework for the definition of dynamic grooming policies in IPO networks. The framework is then specialized for an overlay architecture, where the control plane of the IP and optical level are separated, and no information is shared between the two. A family of grooming policies based on constraints on the number of hops and on the bandwidth sharing degree at the IP level is defined, and its performance analyzed in both regular and irregular topologies. While most of the literature on DTG problem implicitly considers the grooming of low-speed connections onto optical channels using a TDM approach, the proposed grooming policies are evaluated here by considering a realistic traffic model which consider a Dynamic Statistical Multiplexing (DSM) approach, i.e. a single wavelength channel is shared between multiple IP elastic traffic flows

Network flow optimization for distributed clouds

Internet applications, which rely on large-scale networked environments such as data centers for their back-end support, are often geo-distributed and typically have stringent performance constraints. The interconnecting networks, within and across data centers, are critical in determining these applications' performance. Data centers can be viewed as composed of three layers: physical infrastructure consisting of servers, switches, and links, control platforms that manage the underlying resources, and applications that run on the infrastructure. This dissertation shows that network flow optimization can improve performance of distributed applications in the cloud by designing high-throughput schemes spanning all three layers. At the physical infrastructure layer, we devise a framework for measuring and understanding throughput of network topologies. We develop a heuristic for estimating the worst-case performance of any topology and propose a systematic methodology for comparing performance of networks built with different equipment. At the control layer, we put forward a source-routed data center fabric which can achieve near-optimal throughput performance by leveraging a large number of available paths while using limited memory in switches. At the application layer, we show that current Application Network Interfaces (ANIs), abstractions that translate an application's performance goals to actionable network objectives, fail to capture the requirements of many emerging applications. We put forward a novel ANI that can capture application intent more effectively and quantify performance gains achievable with it. We also tackle resource optimization in the inter-data center context of cellular providers. In this emerging environment, a large amount of resources are geographically fragmented across thousands of micro data centers, each with a limited share of resources, necessitating cross-application optimization to satisfy diverse performance requirements and improve network and server utilization. Our solution, Patronus, employs hierarchical optimization for handling multiple performance requirements and temporally partitioned scheduling for scalability

Delivering Consistent Network Performance in Multi-tenant Data Centers

Data centers are growing rapidly in size and have recently begun acquiring a new role as cloud hosting platforms, allowing outside developers to deploy their own applications on large scales. As a result, today\u27s data centers are multi-tenant environments that host an increasingly diverse set of applications, many of which have very demanding networking requirements. This has prompted research into new data center architectures that offer increased capacity by using topologies that introduce multiple paths between servers. To achieve consistent network performance in these networks, traffic must be effectively load balanced among the available paths. In addition, some form of system-wide traffic regulation is necessary to provide performance guarantees to tenants. To address these issues, this thesis introduces several software-based mechanisms that were inspired by techniques used to regulate traffic in the interconnects of scalable Internet routers. In particular, we borrow two key concepts that serve as the basis for our approach. First, we investigate packet-level routing techniques that are similar to those used to balance load effectively in routers. This work is novel in the data center context because most existing approaches route traffic at the level of flows to prevent their packets from arriving out-of-order. We show that routing at the packet-level allows for far more efficient use of the network\u27s resources and we provide a novel resequencing scheme to deal with out-of-order arrivals. Secondly, we introduce distributed scheduling as a means to engineer traffic in data centers. In routers, distributed scheduling controls the rates between ports on different line cards enabling traffic to move efficiently through the interconnect. We apply the same basic idea to schedule rates between servers in the data center. We show that scheduling can prevent congestion from occurring and can be used as a flexible mechanism to support network performance guarantees for tenants. In contrast to previous work, which relied on centralized controllers to schedule traffic, our approach is fully distributed and we provide a novel distributed algorithm to control rates. In addition, we introduce an optimization problem called backlog scheduling to study scheduling strategies that facilitate more efficient application execution

Centralized Rate Allocation and Control in 802.11-based Wireless Mesh Networks

Wireless Mesh Networks (WMNs) built with commodity 802.11 radios are a cost-effective means of providing last mile broadband Internet access. Their multihop architecture allows for rapid deployment and organic growth of these networks. 802.11 radios are an important building block in WMNs. These low cost radios are readily available, and can be used globally in license-exempt frequency bands. However, the 802.11 Distributed Coordination Function (DCF) medium access mechanism does not scale well in large multihop networks. This produces suboptimal behavior in many transport protocols, including TCP, the dominant transport protocol in the Internet. In particular, cross-layer interaction between DCF and TCP results in flow level unfairness, including starvation, with backlogged traffic sources. Solutions found in the literature propose distributed source rate control algorithms to alleviate this problem. However, this requires MAC-layer or transport-layer changes on all mesh routers. This is often infeasible in practical deployments. In wireline networks, router-assisted rate control techniques have been proposed for use alongside end-to-end mechanisms. We evaluate the feasibility of establishing similar centralized control via gateway mesh routers in WMNs. We find that commonly used router-assisted flow control schemes designed for wired networks fail in WMNs. This is because they assume that: (1) links can be scheduled independently, and (2) router queue buildups are sufficient for detecting congestion. These abstractions do not hold in a wireless network, rendering wired scheduling algorithms such as Fair Queueing (and its variants) and Active Queue Management (AQM) techniques ineffective as a gateway-enforceable solution in a WMN. We show that only non-work-conserving rate-based scheduling can effectively enforce rate allocation via a single centralized traffic-aggregation point. In this context we propose, design, and evaluate a framework of centralized, measurement-based, feedback-driven mechanisms that can enforce a rate allocation policy objective for adaptive traffic streams in a WMN. In this dissertation we focus on fair rate allocation requirements. Our approach does not require any changes to individual mesh routers. Further, it uses existing data traffic as capacity probes, thus incurring a zero control traffic overhead. We propose two mechanisms based on this approach: aggregate rate control (ARC) and per-flow rate control (PFRC). ARC limits the aggregate capacity of a network to the sum of fair rates for a given set of flows. We show that the resulting rate allocation achieved by DCF is approximately max-min fair. PFRC allows us to exercise finer-grained control over the rate allocation process. We show how it can be used to achieve weighted flow rate fairness. We evaluate the performance of these mechanisms using simulations as well as implementation on a multihop wireless testbed. Our comparative analysis show that our mechanisms improve fairness indices by a factor of 2 to 3 when compared with networks without any rate limiting, and are approximately equivalent to results achieved with distributed source rate limiting mechanisms that require software modifications on all mesh routers

Dynamic routing and spectrum allocation in elastic optical networks

Triggered by emerging services such as high-definition video distribution or social networking, the IP traffic volume has been exponentially increasing to date. Furthermore, the traffic growth rate will not stop here due to the day by day technology advances. For example, new hardware advances such as multicore processing, virtualization and network storage will support new generation e-Science and grid applications, requesting data flows of 10 Gb/s up to terabit level. In response to these large capacity and diverse traffic granularity needs of the future Internet, the Elastic Optical Network (EON) architecture has been proposed. By breaking the fixed-grid spectrum allocation limit of conventional Wavelength Division Multiplexing (WDM) networks, EONs increase the flexibility in the connection provisioning. To do so, depending on the traffic volume, an appropriate-sized optical spectrum is allocated to a connection in EONs. Furthermore, unlike the rigid optical channels of conventional WDM networks, a lightpath can expand or contract elastically to meet different bandwidth demands in EONs. In this way, incoming connection requests can be served in a spectrum-efficient manner. This technological advance poses additional challenges on the networking level, specifically on the efficient connection establishment. The Routing and Spectrum Allocation (RSA) problem in elastic optical networks has grabbed a lot of attention lately, putting more emphasis on dynamic network scenarios. There, connection arrival and departure processes are random and the network has to accommodate incoming traffic in real time. Despite all efforts at studying the dynamic RSA problem from different perspectives, there are still some issues which need to be addressed. This thesis is devoted to the study of three still open issues in the EONs literature, 1) dynamic source aggregation of sub-wavelength connections, 2) correlation between traffic granularity and defragmentation periodicity and 3) using spectrum fragmentation to better allocate time-varying connections. The first issue deals with the possibility of aggregation of same source but different destination sub-wavelength connections in EONs, aiming to obtain both transmitter and spectrum usage savings. A novel algorithm for dynamic source aggregation of connections is proposed. Moreover, a novel node architecture enabling the realization of the proposed source aggregation scheme in a cost-effective way is introduced. A considerable improvement in the network spectrum utilization, as well as a significant reduction in the number of necessary transmitters per node is shown. The spectral fragmentation problem in elastic optical networks is addressed with the second issue. A correlation between the optimal (i.e., minimum) spectrum defragmentation periodicity in the network with the granularity of the supported traffic is investigated. A novel algorithm for efficient spectrum defragmentation is proposed, aiming to consolidate the available fiber spectrum as much as possible, while limiting the number of re-allocated active connections. It is shown that the spectral defragmentation periodicity can be effectively configured by having knowledge of the offered traffic granularity. The last issue is about lightpath adaptation under time variable traffic demands in EONs. Specifically, the possibility of utilizing the spectral fragmentation to increase the spectrum allocation capabilities of EONs is explored. In this context, a heuristic Spectrum Allocation (SA) algorithm, which intentionally increases the spectral fragmentation in the network is proposed and validated. In the proposal, the spectrum assigned to each new connection is in the middle of the largest free spectral void over the route, aiming to provide considerable spectral space between adjacent connections. These free spectral spaces are then used to allocate time-varying connections without requiring any lightpath re-allocation.Degut a l'augment de serveis emergent com la distribució de vídeo d'alta definició les xarxes socials, el volum de tràfic IP ha crescut de manera exponencial durant els darrers temps. S'espera que aquest creixement no s'aturi sinó que continui de manera imparable degut als constants avenços tecnològics. Alguns exemples d’això poden ser els processadors multi-nucli, la virtualització o el "cloud computing" que donaran suport a una nova generació de e-Science i d'aplicacions Grid per les quals caldran flux de dades des de 10 Gb/s fins al Terabit per segon. La conseqüència esperable és que els operadors de xarxes de telecomunicacions requeriran una nova generació de transport òptic en el futur proper, per donar servei a aquests grans i heterogenis volums de trafic d'una manera econòmicament eficient i escalable. Com a resposta a les creixents necessitats de capacitat i de diferents granularitats de tràfic de la Internet del Futur s'ha proposat l'arquitectura coneguda com "Elastic Optical Network" (EON). Trencant el rígid entramat de les xarxes WDM tradicionals, on s'ha de reservar tot un canal òptic per a cada comunicació, mitjançant les EON s'aconsegueix incrementar la flexibilitat en l'aprovisionament de connexions. per fer-ho, depenent del volum de tràfic s'assigna la quantitat adient de l'espectre òptic a cada connexió. I, anant encara un pas més enllà, per desfer la rigidesa dels canals convencionals de les xarxes amb multiplexació per divisió en longitud d'ona (WDM), les connexions òptiques en les EON poden expandir-se o contraure's de manera elàstica segons els requeriments d'ample de banda en cada moment. D'aquesta manera, les peticions de connexió que arriben poden ésser servides de manera eficient pel que fa a l'espectre que utilitzen. Aquest avenç tecnològic implica però alguns reptes a nivell de xarxa, especialment pel que fa a l'establiment eficient de les connexions. De manera similar a com succeeix en les xarxes WDM, una connexió ha d'ocupar la mateixa part de l'espectre en tots els links que la conformen, acomplint el principi de "continuïtat en l'espectre". A més a més, tot l'ample de banda de la connexió ha d'estar assignat de manera adjacent, acomplint el principi de "contigüitat en l'espectre". Per aconseguir aquests objectius, el problema de l'encaminament i assignació de l'espectre (RSA) ha merescut una gran atenció dels investigadors en els darrers anys, amb especial èmfasi a escenaris dinàmics, és a dir, en la fase d’operació de la xarxa. En aquest cas, els processos d'arribada i mort de les connexions són aleatoris i la xarxa ha d'acomodar en temps real el tràfic ofert. Tot i els grans esforços dedicats a aquest tema, queden encara alguns punts a resoldre. Aquesta Tesi està dedicada a alguns d'aquests temes oberts en l'àmbit de les xarxes EON: 1) l’agregació dinàmica de connexions de granularitat inferior a la longitud d'ona, 2) la correlació entre la granularitat del tràfic i les polítiques de desfragmentació de l'espectre, i, 3) utilitzar la fragmentació espectral per a una millor assignació de connexions d'ample de banda canviant en el temps. El primer tòpic analitza la possibilitat d'agregar connexions originades a la mateixa font però amb diferents destinacions dins d'una EON, amb l'objectiu d'estalviar recursos tant pel que fa a nombre d'equips transmissor utilitzats com a l'espectre utilitzat. S'ha proposat un nou algorisme que millora ambdós paràmetres, així com una arquitectura pels nodes de la xarxa que permet utilitzar l'algorisme d’agregació proposat de manera eficient des del punt de vista del cost. S'aconsegueix una considerable millora pel que fa a la utilització de l'espectre a més d'una significativa reducció en el nombre de transmissors per node que es requereixen. El problema de la fragmentació espectral en les EONs s'ataca en la segona aportació d'aquesta Tesi. S'ha aconseguit demostrar la correlació entre l’òptima (és a dir mínima) periodicitat de les accions de desfragmentació i la granularitat del tràfic suportat. S'ha proposat un nou algorisme per a una desfragmentació eficient, l'objectiu del qual és consolidar l'espectre disponible en les fibres tan com sigui possible, al mateix temps que es redueix el nombre de connexions que has de ser reubicades en la xarxa. Es demostra que, en una EON, es pot configurar de manera òptima la periodicitat de les desfragmentacions si es coneix la granularitat de les connexions a transportar. Finalment, en el tercer gran apartat de la Tesi, s'estudia la possibilitat d'utilitzar la fragmentació espectral en les EON per a una millor assignació dels recursos quan el tràfic és variant en el temps. En aquest context, s'ha proposat i validat un algorisme d’assignació de l'espectre (SA) que incrementa de manera intencionada la fragmentació espectral de la xarxa. En aquesta proposta, l'espectre assignat a cada nova connexi_o s'ubica al bell mig del buit espectral més gran que es troba en tota la ruta, amb l'objectiu de deixar tan espai com sigui possible entre les diferents connexions. Aquest espai és després utilitzat per a connexions que requereixen, al llarg de la seva existència, més espectre del que se'ls ha assignat inicialment (incrementen el seu ample de banda). Els resultats obtinguts mitjançant simulacions mostren significants millores en termes de Probabilitat de Bloqueig (BP) en la xarxa quan s'utilitza l'algorisme proposat. Després d'una introducció a la Tesi, el Capítol 2 ofereix una revisió de l’evolució de les xarxes òptiques de transport, tot introduint el concepte de xarxa òptica elàstica (EON). El Capítol 3 se centra en l'estudi dels mètodes d'encaminament i assignació de longitud d'ona en xarxes WDM convencionals, i la seva evolució cap al problema de l’assignació d'espectre (RSA) en EONs. El Capítol 4 detalla els estudis i les contribucions fetes en el tema d’agregació de connexions de granularitat inferior a la longitud d'ona en EONs. L'algorisme proposat, així com l'arquitectura de node que permet aplicar-lo es presenten en aquest Capítol. El problema de la fragmentació espectral en EONs i llurs solucions es revisen a fons en el Capítol 5. La correlació entre la periodicitat de les desfragmentacions espectrals i la granularitat del tràfic ofert s'estudien aquí. El Capítol 6 detalla el problema de servir connexions variants en el temps en EONs. Algunes polítiques proposades fins ara es revisen, i tot seguit se'n proposa una que, en certs aspectes, millora les prèvies. Finalment, cal destacar que aquest treball ha rebut el suport del Govern de la Generalitat de Catalunya, a través d'una beca FI-AGAUR, i que s'ha realitzat en el marc del projecte del Ministerio de Educación Ciencia y Deporte espanyol ELASTIC (TEC2011-27310).Debido al aumento de servicios emergentes como la distribución de video de alta definición o las redes sociales, el volumen de tráfico IP ha crecido de manera exponencial durante los últimos tiempos. Se espera que este crecimiento no se pare sino que continúe de manera imparable debido a los constantes adelantos tecnológicos. Algunos ejemplos de esto pueden ser los procesadores multi-núcleo, la virtualización o el "cloud computing" que darán servicio a una nueva generación de aplicaciones de e-Science y de Grid para las cuáles serán necesarios flujos de datos desde 10 Gb/s hasta Terabits por segundo. La consecuencia esperable es que los operadores de redes de telecomunicaciones requerirán una nueva generación de transporte óptico en el futuro cercano, para dar servicio a estos grandes y heterogéneos volúmenes de tráfico de una manera económicamente eficiente y escalable. Como respuesta a las crecientes necesidades de capacidad y de diferentes granularidades de tráfico de la Internet del Futuro, se ha propuesto la arquitectura conocida como "Elastic Optical Network" (EON). Rompiendo el rígido entramado de las redes con multiplexación por división en longitud de onda (WDM) tradicionales, donde se tiene que reservar todo un canal óptico para cada comunicación, mediante las EON se consigue incrementar la flexibilidad en el aprovisionamiento de conexiones. Para hacerlo, dependiendo del volumen de tráfico se asigna la cantidad adecuada del espectro óptico a cada conexión. Y, yendo todavía un paso más allá, para deshacer la rigidez de los canales convencionales de las redes WDM, las conexiones ópticas en las EON pueden expandirse o contraerse de manera elástica según los requerimientos de ancho de banda en cada momento. De este modo, las peticiones de conexión que llegan pueden ser servidas de manera eficiente en cuanto al espectro que utilizan. Este adelanto tecnológico implica sin embargo algunos retos a nivel de red, especialmente en lo que se refiere al establecimiento eficiente de las conexiones. De manera similar a como sucede en las redes WDM, una conexión debe ocupar la misma parte del espectro en todos los links que la conforman, cumpliendo el principio de "continuidad espectral". Además, todo el ancho de banda de la conexión tiene que estar asignado de manera adyacente, cumpliendo el principio de "contigüidad espectral". Para conseguir estos objetivos, el problema del encaminamiento y asignación del espectro (RSA) ha merecido una gran atención de los investigadores en los últimos años, con especial énfasis en escenarios dinámicos, es decir, en la fase de operación de la red. En este caso, los procesos de llegada y finalización de las conexiones son aleatorios y la red tiene que acomodar en tiempo real el tráfico ofrecido. A pesar de los grandes esfuerzos dedicados a este tema, quedan todavía algunos puntos a resolver. Esta Tesis está dedicada a algunos de estos temas abiertos en el ámbito de las redes EON: 1) la agregación dinámica de conexiones de granularidad inferior a la longitud de onda, 2) la correlación entre la granularidad del tráfico y las políticas de desfragmentación del espectro, y, 3) utilizar la fragmentación espectral para una mejor asignación de conexiones de ancho de banda variante en el tiempo. El primer tópico analiza la posibilidad de agregar conexiones originadas en la misma fuente pero con diferentes destinos dentro de una EON, con el objetivo de ahorrar recursos tanto en cuanto a número de equipos transmisores utilizados como en el espectro utilizado. Se ha propuesto un nuevo algoritmo que mejora ambos parámetros, así como una arquitectura para los nodos de la red que permite utilizar el algoritmo de agregación propuesto de manera eficiente desde el punto de vista del coste. Se consigue una considerable mejora en cuanto a la utilización del espectro además de una significativa reducción en el número de trasmisores por nodo que se requieren. El problema de la fragmentación espectral en las EONs se ataca en la segunda aportación de esta Tesis. Se ha conseguido demostrar la correlación entre la óptima (es decir, mínima) periodicidad de las acciones de desfragmentación y la granularidad del tráfico soportado. Se ha propuesto un nuevo algoritmo para una desfragmentación eficiente, el objetivo del cual es consolidar el espectro disponible en las fibras tanto como sea posible, al mismo tiempo que se reduce el número de conexiones que deben ser reubicadas en la red. Se demuestra que, en una EON, se puede configurar de manera óptima la periodicidad de las desfragmentaciones si se conoce la granularidad de las conexiones a transportar. Finalmente, en el tercer gran apartado de la Tesis, se estudia la posibilidad de utilizar la fragmentación espectral en las EON para una mejor asignación de los recursos cuando el tráfico es variante en el tiempo. En este contexto, se ha propuesto y validado un algoritmo de asignación del espectro (SA) que incrementa de manera intencionada la fragmentación espectral de la red. En esta propuesta, el espectro asignado a cada nueva conexión se ubica en medio del vacío espectral más grande que se encuentra en toda la ruta, con el objetivo de dejar tanto espacio como sea posible entre las diferentes conexiones. Este espacio es después utilizado para conexiones que requieren, a lo largo de su existencia, más espectro del que se les ha asignado inicialmente (incrementan su ancho de banda). Los resultados obtenidos mediante simulaciones muestran significantes mejoras en términos de Probabilidad de Bloqueo (BP) de la red cuando se utiliza el algoritmo propuesto. Después de una introducción a la Tesis, el Capitulo 2 ofrece una revisión de la evolución delas redes ópticas de transporte, introduciendo el concepto de red óptica elástica (EON). El Capítulo 3 se centra en el estudio de los métodos de encaminamiento y asignación de longitud de onda en redes WDM convencionales, y su evolución hacia el problema de la asignación de espectro (RSA) en EONs. El Capítulo 4 detalla los estudios y las contribuciones hechas en el tema de agregación de conexiones de granularidad inferior a la longitud de onda en EONs. El algoritmo propuesto, así como la arquitectura de nodo que permite aplicarlo, se presentan en este Capitulo. El problema de la fragmentación espectral en las EONs y sus soluciones se revisan a fondo en el Capitulo 5. La correlación entre la periodicidad de las desfragmentaciones espectrales y la granularidad del tráfico ofrecido se estudian aquí. El Capitulo 6 detalla el problema de servir conexiones variantes en el tiempo en EONs. Algunas políticas propuestas hasta ahora se han revisado, y a continuación se propone una que, en algunos aspectos, mejora las previamente publicadas. Finalmente, hay que destacar que este trabajo ha recibido el apoyo del Gobierno de la Generalitat de Catalunya, a través de una beca FI-AGAUR, y que se ha realizado en el marco del proyecto ELASTIC (*TEC2011-27310), del Ministerio de Educación Ciencia y Deporte Español

Cross-layer modeling and optimization of next-generation internet networks

Scaling traditional telecommunication networks so that they are able to cope with the volume of future traffic demands and the stringent European Commission (EC) regulations on emissions would entail unaffordable investments. For this very reason, the design of an innovative ultra-high bandwidth power-efficient network architecture is nowadays a bold topic within the research community. So far, the independent evolution of network layers has resulted in isolated, and hence, far-from-optimal contributions, which have eventually led to the issues today's networks are facing such as inefficient energy strategy, limited network scalability and flexibility, reduced network manageability and increased overall network and customer services costs. Consequently, there is currently large consensus among network operators and the research community that cross-layer interaction and coordination is fundamental for the proper architectural design of next-generation Internet networks. This thesis actively contributes to the this goal by addressing the modeling, optimization and performance analysis of a set of potential technologies to be deployed in future cross-layer network architectures. By applying a transversal design approach (i.e., joint consideration of several network layers), we aim for achieving the maximization of the integration of the different network layers involved in each specific problem. To this end, Part I provides a comprehensive evaluation of optical transport networks (OTNs) based on layer 2 (L2) sub-wavelength switching (SWS) technologies, also taking into consideration the impact of physical layer impairments (PLIs) (L0 phenomena). Indeed, the recent and relevant advances in optical technologies have dramatically increased the impact that PLIs have on the optical signal quality, particularly in the context of SWS networks. Then, in Part II of the thesis, we present a set of case studies where it is shown that the application of operations research (OR) methodologies in the desing/planning stage of future cross-layer Internet network architectures leads to the successful joint optimization of key network performance indicators (KPIs) such as cost (i.e., CAPEX/OPEX), resources usage and energy consumption. OR can definitely play an important role by allowing network designers/architects to obtain good near-optimal solutions to real-sized problems within practical running times