Exploració per autor "Barlet Ros, Pere"
Ara es mostren els items 21-40 de 82
-
Demystifying content-blockers: A large-scale study of actual performance gains
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Text en actes de congrés
Accés obertWith the evolution of the online advertisement and tracking ecosystem, content-filtering has become the reference tool for improving the security, privacy and browsing experience when surfing the Internet. It is also ... -
Demystifying content-blockers: Measuring their impact on performance and quality of experience
(2022-09)
Article
Accés obertWith the evolution of the online advertisement and tracking ecosystem, content-blockers have become the reference tool for improving the security, privacy and browsing experience when surfing the Internet. It is also ... -
Detecting and analyzing mouse tracking in the wild
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertNowadays, most websites collect personal information about their users in order to identify them and personalize their services. Among the tools used to that end, fingerprinting is one of the most advanced and precise ... -
Detecting cryptocurrency miners with NetFlow/IPFIX network measurements
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Text en actes de congrés
Accés obertIn the last few years, cryptocurrency mining has become more and more important on the Internet activity and nowadays is even having a noticeable impact on the global economy. This has motivated the emergence of a new ... -
Detecting network performance anomalies with contextual anomaly detection
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Text en actes de congrés
Accés obertNetwork performance anomalies can be defined as abnormal and significant variations in a network's traffic levels. Being able to detect anomalies is critical for both network operators and end users. However, the accurate ... -
Distributed Sampling for On-line SLA Assessment
(IEEE Communications Society, 2008-09-30)
Text en actes de congrés
Accés obertNew business infrastructures over the Internet pose a new set of traffic constraints. In particular, multimedia and interactive contents require guarantees of bandwidth and delivery time. The broad deployment and real-time ... -
Early detection of new web tracking methods across 1.5 million sites
(Elsevier, 2023-10-01)
Article
Accés restringit per política de l'editorialCurrent web tracking practices pose a constant threat to the privacy of Internet users. As a result, the research community has recently proposed different tools to combat well-known tracking methods. However, the early ... -
Empirical analysis of traffic to establish a profiled flow termination timeout
(Institute of Electrical and Electronics Engineers (IEEE), 2013)
Text en actes de congrés
Accés restringit per política de l'editorialThe exponential increase of bandwidth on the Internet has made the online traffic classification a highly exigent task. All the operations in the classification process must be efficiently implemented in order to deal with ... -
ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning
(2022-09-04)
Article
Accés obertWide Area Networks (WAN) are a key infrastructure in today’s society. During the last years, WANs have seen a considerable increase in network’s traffic and network applications, imposing new requirements on existing network ... -
ePrivo.eu: An online service for automatic web tracking discovery
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Article
Accés obertGiven the pervasiveness of web tracking practices on the Internet, many countries are developing and enforcing new privacy regulations to ensure the rights of their citizens. However, discovering websites that do not comply ... -
Every timestamp counts: accurate tracking of network latencies using reconcilable difference aggregator
(2017-11-07)
Article
Accés obertIEEE User-facing services deployed in data centers must respond quickly to user actions. The measurement of network latencies is of paramount importance. Recently, a new family of compact data structures has been proposed ... -
FaRNet: fast recognition of high multi-dimensional network traffic patterns
(ACM, 2013)
Comunicació de congrés
Accés restringit per política de l'editorialExtracting knowledge from big network traffic data is a matter of foremost importance for multiple purposes ranging from trend analysis or network troubleshooting to capacity planning or traffic classification. An extremely ... -
Fast traffic engineering by gradient descent with learned differentiable routing
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Comunicació de congrés
Accés obertEmerging applications such as the metaverse, telesurgery or cloud computing require increasingly complex operational demands on networks (e.g., ultra-reliable low latency). Likewise, the ever-faster traffic dynamics will ... -
Feature engineering for deep reinforcement learning based routing
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Text en actes de congrés
Accés obertRecent advances in Deep Reinforcement Learning (DRL) techniques are providing a dramatic improvement in decision-making and automated control problems. As a result, we are witnessing a growing number of research works that ... -
Flow monitoring in software-defined networks: finding the accuracy/performance tradeoffs
(2018-04-22)
Article
Accés obertIn OpenFlow-based Software-Defined Networks, obtaining flow-level measurements, similar to those provided by NetFlow/IPFIX, is challenging as it requires to install an entry per flow in the flow tables. This approach does ... -
FlowDT: A Flow-aware Digital Twin for computer networks
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Text en actes de congrés
Accés obertNetwork modeling is an essential tool for network planning and management. It allows network administrators to explore the performance of new protocols, mechanisms, or optimal configurations without the need for testing ... -
Graph neural networks for communication networks: context, use cases and opportunities
(2023-05)
Article
Accés obertGraph neural networks (GNN) have shown outstanding applications in fields where data is essentially represented as graphs (e.g., chemistry, biology, recommendation systems). In this vein, communication networks comprise ... -
Identifying the root cause of video streaming issues in mobile devices
(Association for Computing Machinery (ACM), 2015)
Text en actes de congrés
Accés restringit per política de l'editorialVideo streaming on mobile devices is prone to a multi-tude of faults and although well established video Qual-ity of Experience (QoE) metrics such as stall frequencyare a good indicator of the problems perceived by theuser, ... -
IGNNITION: A framework for fast prototyping of Graph Neural Networks
(2021)
Text en actes de congrés
Accés obertRecent years have seen the vast potential of Graph Neural Networks (GNN) in many fields where data is structured as graphs (e.g., chemistry, logistics). However, implementing a GNN prototype is still a cumbersome task that ... -
IGNNITION: Bridging the gap between graph neural networks and networking systems
(2021-11)
Article
Accés obertRecent years have seen the vast potential of graph neural networks (GNN) in many fields where data is structured as graphs (e.g., chemistry, recommender systems). In particular, GNNs are becoming increasingly popular in ...
