696 research outputs found

    Characterization, design and re-optimization on multi-layer optical networks

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    L'augment de volum de trĂ fic IP provocat per l'increment de serveis multimĂšdia com HDTV o vĂ­deo conferĂšncia planteja nous reptes als operadors de xarxa per tal de proveir transmissiĂł de dades eficient. Tot i que les xarxes mallades amb multiplexaciĂł per divisiĂł de longitud d'ona (DWDM) suporten connexions ĂČptiques de gran velocitat, aquestes xarxes manquen de flexibilitat per suportar trĂ fic d’inferior granularitat, fet que provoca un pobre Ășs d'ample de banda. Per fer front al transport d'aquest trĂ fic heterogeni, les xarxes multicapa representen la millor soluciĂł. Les xarxes ĂČptiques multicapa permeten optimitzar la capacitat mitjançant l'empaquetament de connexions de baixa velocitat dins de connexions ĂČptiques de gran velocitat. Durant aquesta operaciĂł, es crea i modifica constantment una topologia virtual dinĂ mica grĂ cies al pla de control responsable d’aquestes operacions. Donada aquesta dinamicitat, un Ășs sub-ĂČptim de recursos pot existir a la xarxa en un moment donat. En aquest context, una re-optimizaciĂł periĂČdica dels recursos utilitzats pot ser aplicada, millorant aixĂ­ l'Ășs de recursos. Aquesta tesi estĂ  dedicada a la caracteritzaciĂł, planificaciĂł, i re-optimitzaciĂł de xarxes ĂČptiques multicapa de nova generaciĂł des d’un punt de vista unificat incloent optimitzaciĂł als nivells de capa fĂ­sica, capa ĂČptica, capa virtual i pla de control. Concretament s'han desenvolupat models estadĂ­stics i de programaciĂł matemĂ tica i meta-heurĂ­stiques. Aquest objectiu principal s'ha assolit mitjançant cinc objectius concrets cobrint diversos temes oberts de recerca. En primer lloc, proposem una metodologia estadĂ­stica per millorar el cĂ lcul del factor Q en problemes d'assignaciĂł de ruta i longitud d'ona considerant interaccions fĂ­siques (IA-RWA). Amb aquest objectiu, proposem dos models estadĂ­stics per computar l'efecte XPM (el coll d'ampolla en termes de computaciĂł i complexitat) per problemes IA-RWA, demostrant la precisiĂł d’ambdĂłs models en el cĂ lcul del factor Q en escenaris reals de trĂ fic. En segon lloc i fixant-nos a la capa ĂČptica, presentem un nou particionament del conjunt de longituds d'ona que permet maximitzar, respecte el cas habitual, la quantitat de trĂ fic extra proveĂŻt en entorns de protecciĂł compartida. Concretament, definim diversos models estadĂ­stics per estimar la quantitat de trĂ fic donat un grau de servei objectiu, i diferents models de planificaciĂł de xarxa amb l'objectiu de maximitzar els ingressos previstos i el valor actual net de la xarxa. DesprĂ©s de resoldre aquests problemes per xarxes reals, concloem que la nostra proposta maximitza ambdĂłs objectius. En tercer lloc, afrontem el disseny de xarxes multicapa robustes davant de fallida simple a la capa IP/MPLS i als enllaços de fibra. Per resoldre aquest problema eficientment, proposem un enfocament basat en sobre-dimensionar l'equipament de la capa IP/MPLS i recuperar la connectivitat i el comparem amb la soluciĂł convencional basada en duplicar la capa IP/MPLS. DesprĂ©s de comparar solucions mitjançant models ILP i heurĂ­stiques, concloem que la nostra soluciĂł permet obtenir un estalvi significatiu en termes de costos de desplegament. Com a quart objectiu, introduĂŻm un mecanisme adaptatiu per reduir l'Ășs de ports opto-electrĂČnics (O/E) en xarxes multicapa sota escenaris de trĂ fic dinĂ mic. Una formulaciĂł ILP i diverses heurĂ­stiques sĂłn desenvolupades per resoldre aquest problema, que permet reduir significativament l’Ășs de ports O/E en temps molt curts. Finalment, adrecem el problema de disseny resilient del pla de control GMPLS. DesprĂ©s de proposar un nou model analĂ­tic per quantificar la resiliĂšncia en topologies mallades de pla de control, usem aquest model per proposar un problema de disseny de pla de control. Proposem un procediment iteratiu lineal i una heurĂ­stica i els usem per resoldre instĂ ncies reals, arribant a la conclusiĂł que es pot reduir significativament la quantitat d'enllaços del pla de control sense afectar la qualitat de servei a la xarxa.The explosion of IP traffic due to the increase of IP-based multimedia services such as HDTV or video conferencing poses new challenges to network operators to provide a cost-effective data transmission. Although Dense Wavelength Division Multiplexing (DWDM) meshed transport networks support high-speed optical connections, these networks lack the flexibility to support sub-wavelength traffic leading to poor bandwidth usage. To cope with the transport of that huge and heterogeneous amount of traffic, multilayer networks represent the most accepted architectural solution. Multilayer optical networks allow optimizing network capacity by means of packing several low-speed traffic streams into higher-speed optical connections (lightpaths). During this operation, a dynamic virtual topology is created and modified the whole time thanks to a control plane responsible for the establishment, maintenance, and release of connections. Because of this dynamicity, a suboptimal allocation of resources may exist at any time. In this context, a periodically resource reallocation could be deployed in the network, thus improving network resource utilization. This thesis is devoted to the characterization, planning, and re-optimization of next-generation multilayer networks from an integral perspective including physical layer, optical layer, virtual layer, and control plane optimization. To this aim, statistical models, mathematical programming models and meta-heuristics are developed. More specifically, this main objective has been attained by developing five goals covering different open issues. First, we provide a statistical methodology to improve the computation of the Q-factor for impairment-aware routing and wavelength assignment problems (IA-RWA). To this aim we propose two statistical models to compute the Cross-Phase Modulation variance (which represents the bottleneck in terms of computation time and complexity) in off-line and on-line IA-RWA problems, proving the accuracy of both models when computing Q-factor values in real traffic scenarios. Second and moving to the optical layer, we present a new wavelength partitioning scheme that allows maximizing the amount of extra traffic provided in shared path protected environments compared with current solutions. Specifically, we define several statistical models to estimate the traffic intensity given a target grade of service, and different network planning problems for maximizing the expected revenues and net present value. After solving these problems for real networks, we conclude that our proposed scheme maximizes both revenues and NPV. Third, we tackle the design of survivable multilayer networks against single failures at the IP/MPLS layer and WSON links. To efficiently solve this problem, we propose a new approach based on over-dimensioning IP/MPLS devices and lightpath connectivity and recovery and we compare it against the conventional solution based on duplicating backbone IP/MPLS nodes. After evaluating both approaches by means of ILP models and heuristic algorithms, we conclude that our proposed approach leads to significant CAPEX savings. Fourth, we introduce an adaptive mechanism to reduce the usage of opto-electronic (O/E) ports of IP/MPLS-over-WSON multilayer networks in dynamic scenarios. A ILP formulation and several heuristics are developed to solve this problem, which allows significantly reducing the usage of O/E ports in very short running times. Finally, we address the design of resilient control plane topologies in GMPLS-enabled transport networks. After proposing a novel analytical model to quantify the resilience in mesh control plane topologies, we use this model to propose a problem to design the control plane topology. An iterative model and a heuristic are proposed and used to solve real instances, concluding that a significant reduction in the number of control plane links can be performed without affecting the quality of service of the network

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

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    PhDAbstact not availableFujitsu Telecommunications Europe Lt

    Multi-Path Alpha-Fair Resource Allocation at Scale in Distributed Software Defined Networks

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    The performance of computer networks relies on how bandwidth is shared among different flows. Fair resource allocation is a challenging problem particularly when the flows evolve over time. To address this issue, bandwidth sharing techniques that quickly react to the traffic fluctuations are of interest, especially in large scale settings with hundreds of nodes and thousands of flows. In this context, we propose a distributed algorithm based on the Alternating Direction Method of Multipliers (ADMM) that tackles the multi-path fair resource allocation problem in a distributed SDN control architecture. Our ADMM-based algorithm continuously generates a sequence of resource allocation solutions converging to the fair allocation while always remaining feasible, a property that standard primal-dual decomposition methods often lack. Thanks to the distribution of all computer intensive operations, we demonstrate that we can handle large instances at scale

    Access and metro network convergence for flexible end-to-end network design

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    This paper reports on the architectural, protocol, physical layer, and integrated testbed demonstrations carried out by the DISCUS FP7 consortium in the area of access - metro network convergence. Our architecture modeling results show the vast potential for cost and power savings that node consolidation can bring. The architecture, however, also recognizes the limits of long-reach transmission for low-latency 5G services and proposes ways to address such shortcomings in future projects. The testbed results, which have been conducted end-to-end, across access - metro and core, and have targeted all the layers of the network from the application down to the physical layer, show the practical feasibility of the concepts proposed in the project
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