A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
The nature of statistical learning theory
The nature of statistical learning theory
Gene functional classification from heterogeneous data
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
On the constancy of internet path properties
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
Multicast-based inference of network-internal delay distributions
IEEE/ACM Transactions on Networking (TON)
Tree Layout for Internal Network Characterizations in Multicast Networks
NGC '01 Proceedings of the Third International COST264 Workshop on Networked Group Communication
On Modeling Round-Trip Time Dynamics of the Internet Using System Identification
ICOIN '02 Revised Papers from the International Conference on Information Networking, Wireless Communications Technologies and Network Applications-Part I
Learning the Kernel Matrix with Semi-Definite Programming
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
End-to-end available bandwidth: measurement methodology, dynamics, and relation with TCP throughput
IEEE/ACM Transactions on Networking (TON)
A measurement study of available bandwidth estimation tools
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
End-to-end estimation of the available bandwidth variation range
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Theory and practice of cross-traffic estimation
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Learning the Kernel with Hyperkernels
The Journal of Machine Learning Research
Nonstationary kernel combination
ICML '06 Proceedings of the 23rd international conference on Machine learning
SVM learning of IP address structure for latency prediction
Proceedings of the 2006 SIGCOMM workshop on Mining network data
Nettimer: a tool for measuring bottleneck link, bandwidth
USITS'01 Proceedings of the 3rd conference on USENIX Symposium on Internet Technologies and Systems - Volume 3
A machine learning approach to TCP throughput prediction
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Passive aggressive measurement with MGRP
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
IEEE Transactions on Signal Processing
Real-time packet loss prediction based on end-to-end delay variation
IEEE Transactions on Network and Service Management
Multicast-based inference of network-internal loss characteristics
IEEE Transactions on Information Theory
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The focus of this work is on the estimation of quality of service (QoS) parameters seen by an application. Our proposal is based on end-to-end active measurements and statistical learning tools. We propose a methodology where the system is trained during short periods with application flows and probe packets bursts. We learn the relation between QoS parameters seen by the application and the state of the network path, which is inferred from the interarrival times of the probe packets bursts. We obtain a continuous non intrusive QoS monitoring methodology. We propose two different estimators of the network state and analyze them using Nadaraya-Watson estimator and Support Vector Machines (SVM) for regression. We compare these approaches and we show results obtained by simulations and by measures in operational networks.