626 resultados para TELECOMMUNICATION


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Traffic Engineering objective is to optimize network resource utilization. Although several works have been published about minimizing network resource utilization in MPLS networks, few of them have been focused in LSR label space reduction. This letter studies Asymmetric Merged Tunneling (AMT) as a new method for reducing the label space in MPLS network. The proposed method may be regarded as a combination of label merging (proposed in the MPLS architecture) and asymmetric tunneling (proposed recently in our previous works). Finally, simulation results are performed by comparing AMT with both ancestors. They show a great improvement in the label space reduction factor

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Most network operators have considered reducing LSR label spaces (number of labels used) as a way of simplifying management of underlaying virtual private networks (VPNs) and therefore reducing operational expenditure (OPEX). The IETF outlined the label merging feature in MPLS-allowing the configuration of multipoint-to-point connections (MP2P)-as a means of reducing label space in LSRs. We found two main drawbacks in this label space reduction a)it should be separately applied to a set of LSPs with the same egress LSR-which decreases the options for better reductions, and b)LSRs close to the edge of the network experience a greater label space reduction than those close to the core. The later implies that MP2P connections reduce the number of labels asymmetrically

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L'objectiu d'aquest projecte és dissenyar i implementar un servei de telefonia IP per a la Unitat de Tecnologies de la Informació i Comunicació (UTIC) de l'Institut Català de la Salut (ICS) a Girona. En primer lloc, es descriu el funcionament actual del servei de telefonia de l'ICS a Girona i la seva infraestructura de xarxa. A continuació s’estudia els fonaments de la VoIP. Es segueix amb el disseny, les eines escollides i la implementació realitzada, per acabar amb les conclusions

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El principal objectiu d’aquest projecte és desenvolupar una aplicació client en .NET que sigui capaç de processar les trucades IP entrants que pugui rebre un usuari al llarg de la seva jornada laboral. L’empresa per la qual es desenvoluparà aquest projecte és Caixa Girona, una empresa dedicada a la banca, fundada l’any 1940 per la Diputació de Girona i que disposa d’una plantilla d’uns 1300 empleats repartits entre unes 250 oficines disposades arreu del territori català i uns Serveis Centrals (SSCC) situats a la ciutat de Girona

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This letter presents a comparison between threeFourier-based motion compensation (MoCo) algorithms forairborne synthetic aperture radar (SAR) systems. These algorithmscircumvent the limitations of conventional MoCo, namelythe assumption of a reference height and the beam-center approximation.All these approaches rely on the inherent time–frequencyrelation in SAR systems but exploit it differently, with the consequentdifferences in accuracy and computational burden. Aftera brief overview of the three approaches, the performance ofeach algorithm is analyzed with respect to azimuthal topographyaccommodation, angle accommodation, and maximum frequencyof track deviations with which the algorithm can cope. Also, ananalysis on the computational complexity is presented. Quantitativeresults are shown using real data acquired by the ExperimentalSAR system of the German Aerospace Center (DLR).

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The objective of traffic engineering is to optimize network resource utilization. Although several works have been published about minimizing network resource utilization, few works have focused on LSR (label switched router) label space. This paper proposes an algorithm that takes advantage of the MPLS label stack features in order to reduce the number of labels used in LSPs. Some tunnelling methods and their MPLS implementation drawbacks are also discussed. The described algorithm sets up NHLFE (next hop label forwarding entry) tables in each LSR, creating asymmetric tunnels when possible. Experimental results show that the described algorithm achieves a great reduction factor in the label space. The presented works apply for both types of connections: P2MP (point-to-multipoint) and P2P (point-to-point)

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The aim of traffic engineering is to optimise network resource utilization. Although several works on minimizing network resource utilization have been published, few works have focused on LSR label space. This paper proposes an algorithm that uses MPLS label stack features in order to reduce the number of labels used in LSPs forwarding. Some tunnelling methods and their MPLS implementation drawbacks are also discussed. The algorithm described sets up the NHLFE tables in each LSR, creating asymmetric tunnels when possible. Experimental results show that the algorithm achieves a large reduction factor in the label space. The work presented here applies for both types of connections: P2MP and P2P

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In previous work we proposed a multi-objective traffic engineering scheme (MHDB-S model) using different distribution trees to multicast several flows. In this paper, we propose a heuristic algorithm to create multiple point-to-multipoint (p2mp) LSPs based on the optimum sub-flow values obtained with our MHDB-S model. Moreover, a general problem for supporting multicasting in MPLS networks is the lack of labels. To reduce the number of labels used, a label space reduction algorithm solution is also considered

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The design of control, estimation or diagnosis algorithms most often assumes that all available process variables represent the system state at the same instant of time. However, this is never true in current network systems, because of the unknown deterministic or stochastic transmission delays introduced by the communication network. During the diagnosing stage, this will often generate false alarms. Under nominal operation, the different transmission delays associated with the variables that appear in the computation form produce discrepancies of the residuals from zero. A technique aiming at the minimisation of the resulting false alarms rate, that is based on the explicit modelling of communication delays and on their best-case estimation is proposed

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Aquest treball analitza els túnels més populars que són suportats pel maquinari habitualment implantat a la xarxa Guifi.net.

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Create a Telecommunication and Information Management Council.

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Establish the TIM Council (Telecommunication and Informational Management)

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Un dels camps que aquest projecte ha estat treballant és el de la telemedicina. Aquest projecte presenta una aplicació per assistir al personal mèdic rehabilitador en tasques de telerehabilitació (i teleassistència) fent servir una connexió bàsica ADSL i hardware comú. És la continuació del projecte TeleRehabilitació i Esclerosi Múltiple (TRiEM), un esforç conjunt entre el grup de recerca Comunicacions i Sistemes Distribuïts (BCDS en anglès) de la Universitat de Girona (UdG) i de la Fundació Esclerosi Múltiple (FEM) per desenvolupar una eina per ajudar a tasques de rehabilitació de l’Esclerosi Múltiple. L’aplicació AXARM és una iniciativa del grup de Comunicacions i Sistemes Distribuïts de la Universitat de Girona per impulsar una eina d’assistència telemàtica entre doctors i pacients. Facilita una eina útil als especialistes d’un centre per realitzar tasques de rehabilitació, assistència remota o monitorització (sanitària, assistencial o d’una altra mena) amb pacients que es trobin en un altre punt físic a través d’Internet

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In a previous paper a novel Generalized Multiobjective Multitree model (GMM-model) was proposed. This model considers for the first time multitree-multicast load balancing with splitting in a multiobjective context, whose mathematical solution is a whole Pareto optimal set that can include several results than it has been possible to find in the publications surveyed. To solve the GMM-model, in this paper a multi-objective evolutionary algorithm (MOEA) inspired by the Strength Pareto Evolutionary Algorithm (SPEA) is proposed. Experimental results considering up to 11 different objectives are presented for the well-known NSF network, with two simultaneous data flows

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