Exploració per autor "Ruiz Ramírez, Marc"
Ara es mostren els items 21-40 de 182
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Autonomous and energy efficient lightpath operation based on digital subcarrier multiplexing
(2021-09)
Article
Accés obertThe massive deployment of 5G and beyond will require high capacity and low latency connectivity services, so network operators will have either to overprovision capacity in their transport networks or to upgrade the optical ... -
Autonomous flow routing for near real-time quality of service assurance
(2024/04)
Article
Accés obertThe deployment of beyond 5G and 6G network infrastructures will enable highly dynamic services requiring stringent Quality of Service (QoS). Supporting such combinations in today’s transport networks will require high ... -
Autonomous operations in optical networks
(2019)
Text en actes de congrés
Accés obertMachine Learning (ML) has already proven its benefits for network operation, being a sub-domain of artificial intelligence, it is highly suitable for complex system representation. In this paper, ... -
BER degradation detection and failure identification in elastic optical networks
(2017-08-30)
Article
Accés obertIEEE Optical connections support virtual links in MPLS-over-optical multilayer networks and therefore, errors in the optical layer impact on the quality of the services deployed on such networks. Monitoring the performance ... -
Big data analytics for the virtual network topology reconfiguration use case
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Text en actes de congrés
Accés restringit per política de l'editorialABNO's OAM Handler is extended with big data analytics capabilities to anticipate traffic changes in volume and direction. Predicted traffic is used to trigger virtual network topology re-optimization. When the virtual ... -
Big Data-backed video distribution in the telecom cloud
(2016-06-15)
Article
Accés obertTelecom operators are starting the deployment of Content Delivery Networks (CDN) to better control and manage video contents injected into the network. Cache nodes placed close to end users can manage contents and adapt ... -
Bringing data analytics to the network nodes
(VDE-Verlag, 2016)
Text en actes de congrés
Accés restringit per política de l'editorialMonitoring every 15 minutes imposes long traffic anomaly detection times and thus, the monitoring frequency needs to be increased to reduce those times, which entails large amount of monitoring data collected. Consequently, ... -
Bringing data analytics to the network nodes for efficient traffic anomalies detection
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Text en actes de congrés
Accés restringit per política de l'editorialTraffic anomalies can create network congestion, so its prompt and accurate detection would allow network operators to make decisions to guarantee the network performance avoiding services to experience any perturbation. ... -
Carrier SDN for flexgrid-based inter-datacenter connectivity
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Text en actes de congrés
Accés restringit per política de l'editorialManaging inter-datacenter (DC) connectivity to transport increasing amounts of data and optimize DC performance and costs becomes a challenge not only for DC operators but also for network operators. Current inter-DC ... -
Carrier SDN to control flexgrid-based inter-datacenter connectivity
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Text en actes de congrés
Accés restringit per política de l'editorialDatacenter federations are able to manage appropriately the green energy resources available in each datacenter (DC) thanks to their geographically distributed infrastructure, thus reducing energy expenditure. Scheduling ... -
CASTOR: a monitoring and data analytics architecture to support autonomic domain and slice networking
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Text en actes de congrés
Accés restringit per política de l'editorialNetwork slices combine resource virtualization with the isolation level required by future 5G applications. In addition, the use of Monitoring and Data Analytics (MDA) helps to maintain the required network performance, ... -
CASTOR: a monitoring and data analytics framework to help operators understand what is going on in their networks
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Text en actes de congrés
Accés restringit per política de l'editorialCASTOR MDA allows collecting huge amounts of measurements from devices. Such data needs to be preprocessed and analyzed to discover and summarize knowledge that can be consumed by human operators. Helper tools are demonstrated ... -
Characterization, design and re-optimization on multi-layer optical networks
(Universitat Politècnica de Catalunya, 2012-12-21)
Tesi
Accés obertL'augment de volum de tràfic IP provocat per l'increment de serveis multimèdia com HDTV o vídeo conferència planteja nous reptes als operadors de xarxa per tal de proveir transmissió de dades eficient. Tot i que les xarxes ... -
Collective self-learning by exchanging ML models
(The Institution of Engineering and Technology (IET), 2019)
Text en actes de congrés
Accés obertCollective self-learning based on Machine Learning (ML) model sharing and combination is proposed to accelerate ML-based algorithm deployment. The considered architecture is presented, together with different alternatives ... -
Column generation algorithm for RSA problems in flexgrid optical networks
(2013-10)
Article
Accés restringit per política de l'editorialFinding optimal routes and spectrum allocation in flexgrid optical networks, known as the RSA problem, is an important design problem in transport communication networks. The problem is TeX -hard, and its intractability ... -
Combining a machine learning and optimization for early pre-FEC BER degradation to meet committed QoS
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Text en actes de congrés
Accés restringit per política de l'editorialMonitoring the physical layer is key to detect bit error rate (BER) degradation caused by failures and to identify the cause of the failure and localize the failed elements. Once the failure has been detected, actions can ... -
Combining long-short term memory and reinforcement learning for improved autonomous network operation
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Text en actes de congrés
Accés obertA combined LSTM and RL approach is proposed for dynamic connection capacity allocation. The LSTM predictor anticipates periodical long-term sharp traffic changes and extends short-term RL knowledge. Numerical results show ... -
Comparing single layer and multilayer approaches to serve multicast requests on flexgrid networks
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Text en actes de congrés
Accés restringit per política de l'editorialAdvanced services require high bitrate multicast connectivity being provided by core transport networks. Multicast services can be supported by a tree connecting the source to every destination of the multicast request. ... -
Comparison of statistical and machine learning-based approaches for telemetry data size reduction
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertThe implementation of next generation beyond 5G use cases such as the Digital Twin (DT) requires the transportation of increasingly large amounts of sensor telemetry data. The reduction of the size of these time series ... -
Connectivity requirements for cloud-based services
(2016)
Text en actes de congrés
Accés restringit per política de l'editorialThe expected explosion of services offered in the cloud has revealed new paradigms in telecommunication networks and motivated research to satisfy the needs arising. Interconnection between facilities hosting computing ...
