Exploració per autor "Barlet Ros, Pere"
Ara es mostren els items 41-60 de 82
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IGNNITION: fast prototyping of graph neural networks for communication networks
(Association for Computing Machinery (ACM), 2021)
Comunicació de congrés
Accés obertGraph Neural Networks (GNN) have recently exploded in the Machine Learning area as a novel technique for modeling graph-structured data. This makes them especially suitable for applications in the networking field, as ... -
Independent comparison of popular DPI tools for traffic classification
(2015-01-15)
Article
Accés obertDeep Packet Inspection (DPI) is the state-of-the-art technology for traffic classification. According to the conventional wisdom, DPI is the most accurate classification technique. Consequently, most popular products, ... -
Is machine learning ready for traffic engineering optimization?
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Text en actes de congrés
Accés obertTraffic Engineering (TE) is a basic building block of the Internet. In this paper, we analyze whether modern Machine Learning (ML) methods are ready to be used for TE optimization. We address this open question through a ... -
Is our ground-truth for traffic classification reliable?
(2014)
Text en actes de congrés
Accés restringit per política de l'editorialThe validation of the different proposals in the traffic classification literature is a controversial issue. Usually, these works base their results on a ground-truth built from private datasets and labeled by techniques ... -
ITMgen - A first-principles approach to generating synthetic interdomain traffic matrices
(Institute of Electrical and Electronics Engineers (IEEE), 2013)
Text en actes de congrés
Accés obertWe present the design and evaluation of ITMgen, a tool for generating synthetic but representative Interdomain Traffic Matrices (ITMs). ITMgen is motivated by the observation that gravity-based models do not reflect ... -
Jellyfish: locality-sensitive subflow sketching
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Text en actes de congrés
Accés obertTo cope with increasing network rates and massive traffic volumes, sketch-based methods have been extensively studied to trade accuracy for memory scalability and storage cost. However, sketches are sensitive to hash ... -
Knowledge-defined networking
(2017-07-01)
Article
Accés obertThe research community has considered in the past the application of Artificial Intelligence (AI) techniques to control and operate networks. A notable example is the Knowledge Plane proposed by D.Clark et al. However, ... -
Load shedding in network monitoring applications
(Universitat Politècnica de Catalunya, 2008-12-15)
Tesi
Accés obertMonitoring and mining real-time network data streams are crucial operations for managing and operating data networks. The information that network operators desire to extract from the network traffic is of different size, ... -
MAGNNETO: A graph neural network-based multi-agent system for traffic engineering
(2023-04)
Article
Accés obertCurrent trends in networking propose the use of Machine Learning (ML) for a wide variety of network optimization tasks. As such, many efforts have been made to produce ML-based solutions for Traffic Engineering (TE), which ... -
Measuring video QoE from encrypted traffic
(Association for Computing Machinery (ACM), 2016)
Text en actes de congrés
Accés restringit per política de l'editorialTracking and maintaining satisfactory QoE for video streaming services is becoming a greater challenge for mobile network operators than ever before. Downloading and watching video content on mobile devices is currently a ... -
Network digital twin: context, enabling technologies, and opportunities
(2022-11)
Article
Accés obertThe proliferation of emergent network applications (e.g., telesurgery, metaverse) is increasing the difficulty of managing modern communication networks. These applications entail stringent network requirements (e.g., ... -
Network measurements for web tracking analysis and detection: A tutorial
(2020-12)
Article
Accés obertDigital society has developed to a point where it is nearly impossible for a user to know what it is happening in the background when using the Internet. To understand it, it is necessary to perform network measurements ... -
Network Polygraph: An innovative network visibility service (not only) for NRENs
(2015)
Comunicació de congrés
Accés obertWe present Network Polygraph (https://polygraph.io), a network monitoring service based on NetFlow/IPFIX that benefits from more than 10 years of research in the fields of network monitoring and traffic classification at ... -
NetXplain: Real-time explainability of graph neural networks applied to computer networks
(2021)
Text en actes de congrés
Accés obertRecent advancements in Deep Learning (DL) have revolutionized the way we can efficiently tackle complex optimization problems. However, existing DL-based solutions are often considered as black boxes due to their high inner ... -
NetXplain: Real-time explainability of graph neural networks applied to networking
(2021-08-05)
Article
Accés obertRecent advancements in Deep Learning (DL) have revolutionized the way we can efficiently tackle complex optimization problems. However, existing DL-based solutions are often considered as black boxes with high inner ... -
Performance of direct-oversampling correlator-type receivers in chaos-based DS-CDMA systems over frequency non-selective fading channels
(2017-03-08)
Article
Accés obertIn this paper, we present a study on the performance of direct-oversampling correlator-type receivers in chaos-based direct-sequence code division multiple access systems over frequency non-selective fading channels. At ... -
Performance-oriented digital twins for packet and optical networks
(2023-10-23)
Report de recerca
Accés obertThis draft introduces the concept of a Network Digital Twin (NDT), including the architecture as well as the interfaces. Then two specific instances of the NDT are introduced, the first one for packet networks. This ... -
(Position paper) Characterizing the behavior of small producers in smart grids: A data sanity analysis
(Elsevier, 2020)
Article
Accés obertRenewable energy production throughout low-voltage grids has gradually increased in electrical distribution systems, therefore introducing small energy producers - prosumers. This paradigm challenges the traditional ... -
Results and achievements of the ALLIANCE Project: New network solutions for 5G and beyond
(Multidisciplinary Digital Publishing Institute, 2021-09-30)
Article
Accés obertLeaving the current 4th generation of mobile communications behind, 5G will represent a disruptive paradigm shift integrating 5G Radio Access Networks (RANs), ultra-high-capacity access/metro/core optical networks, and ... -
RouteNet-Erlang: A graph neural network for network performance evaluation
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Text en actes de congrés
Accés obertNetwork modeling is a fundamental tool in network research, design, and operation. Arguably the most popular method for modeling is Queuing Theory (QT). Its main limitation is that it imposes strong assumptions on the ...
