Listar por autor UPNA "Morató Osés, Daniel"
Mostrando ítems 1-20 de 62
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A-priori flow bandwidth estimates for dynamic bandwidth allocation in ISP access links
In this paper we study a-priori bandwidth estimation algorithms for TCP flows. An RTT-based bandwidth allocator is proposed, which outperforms a broad class of peak-rate and static allocation flow switching solutions. Our ... -
Analysis and stochastic characterization of TCP flows
Since the most Internet services use TCP as a transport protocol there is a growing interest in the characterization of TCP flows. However, the flow characteristics depend on a large number of factors, due to the complexity ... -
Analysis of Internet services in IP over ATM networks
This paper presents a trace-driven analysis of IP over ATM services from a user-perceived quality of service standpoint. QoS parameters such as the sustained throughput for transactional services and other ATM layer ... -
Approximations for end-to-end delay analysis in OBS networks with light load
In this paper we provide an analysis of end-to-end delay in OBS networks and a large deviations approximation. The analysis is based on an exponential approximation of the OBS router blocking time and on the assumption ... -
Aproximación al modelado y predicción de tráfico de Internet como múltiplex de conexión de transporte
El tráfico de datos en la Internet actual presenta un nuevo reto de caracterización y modelado para el correcto dimensionamiento de los equipos y enlaces que conforman la llamada “red de redes”. En este trabajo presentamos ... -
Arquitectura y diseño de un modelo de red OBS para simulación
Optical Burst Switching (OBS) es una nueva tecnología de conmutación óptica capaz de soportar una gran demanda de ancho de banda en backbones ópticos con Wavelength Division Multiplexing (WDM). Muchos investigadores están ... -
Blocking time analysis of OBS routers with arbitrary burst size distribution
The blocking time distribution for an OBS router is obtained, under the assumption of Poisson-arriving bursts with Pareto, Gaussian and Exponential burst size distributions. Analytical expressions are provided as a ... -
Characterizing Internet load as a non-regular multiplex of TCP streams
A commonly accepted traffic model for a large population of Internet users consists of a multiplex of Poisson-arriving heavy-tailed streams with the same constant rate (M/G//spl infin/). We show that even though such a ... -
Computation of traffic time series for large populations of IoT devices
En este artículo se estudian las tecnicas para clasificar paquetes de tráfico de red en múltiples clases orientadas a la realización de series temporales de tráfico en escenarios de un elevado numero de clases como pueden ... -
Crypto-ransomware detection using machine learning models in file-sharing network scenarios with encrypted traffic
Ransomware is considered as a significant threat for home users and enterprises. In corporate scenarios, users’ computers usually store only system and program files, while all the documents are accessed from shared servers. ... -
Delay-throughput curves for timer-based OBS burstifiers with light load
The OBS burstifier delay-throughput curves are analyzed in this paper. The burstifier incorporates a timer-based scheme with minimum burst size, i. e., bursts are subject to padding in light-load scenarios. Precisely, due ... -
Detección de congestión en la Internet europea
In this paper we present a study about the utilization of one-way delay measurements to detect and characterize network congestion in the european Internet. The experiments have been made using the ETOMIC platfom that ... -
Detecting disruption periods on TCP servers with passive packet traffic analysis
This paper presents a simple passive algorithm to monitor service availability. The algorithm is based on packet counting over a passive traffic trace of a population of clients accessing servers of interest. The major ... -
Effective analysis of secure web response time
The measurement of response time in web based applications is a common task for the evaluation of service responsiveness and the detection of network or server problems. Traffic analysis is the most common strategy for ... -
Effective burst preemption in OBS network
Burst preemption is the most effective technique to provide Quality of Service (QoS) differentiation in Optical Burst Switching (OBS) networks. Nonetheless, in conventional OBS architectures, when preemption happens the ... -
The ETOMIC active probing infrastructure: demo proposal
ETOMIC (www.etomic.org) is a European Union sponsored effort, that aims at providing a Paneuropean traffic measurement infrastructure. This infrastructure contains 15 PC based active probing nodes equipped with ... -
ETOMIC advanced network monitoring system for future Internet experimentation
ETOMIC is a network traffic measurement platform with high precision GPS-synchronized monitoring nodes. The infrastructure is publicly available to the network research community, supporting advanced experimental ... -
The European Traffic Observatory Measurement Infraestructure (ETOMIC)
The European Traffic Observatory is a European Union VI Framework Program sponsored effort, within the Integrated Project EVERGROW, that aims at providing an paneuropean traffic measurement infrastructure with high-precision, ... -
The European Traffic Observatory Measurement Infraestructure (ETOMIC): a testbed for universal active and passive measurements
The European Traffic Observatory is a European Union VI Framework Program sponsored effort, within the Integrated Project EVERGROW, that aims at providing a paneuropean traffic measurement infrastructure with highprecisi ... -
Evaluation of preemption probabilities in OBS networks with burst segmentation
Preemption techniques have been recently proposed for service differentiation in Optical Burst Switching (OBS) networks. According to [1], an incoming burst with the same priority that the burst in service will preempt ...