Continuous-time hidden Markov models for network performance evaluation
Performance Evaluation
On the long-run behavior of equation-based rate control
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Measurement Based Modeling of Quality of Service in the Internet: A Methodological Approach
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Performance Evaluation of Complex Systems: Techniques and Tools, Performance 2002, Tutorial Lectures
A framework for interpreting measurement over Internet
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An adaptive FEC algorithm using hidden Markov chains
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Modeling frame-level errors in GSM wireless channels
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Flow classification by histograms: or how to go on safari in the internet
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ARC: the analytical rate control scheme for real-time traffic in wireless networks
IEEE/ACM Transactions on Networking (TON)
Modeling the short-term dynamics of packet losses
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Predicting packet loss statistics with hidden Markov models
ACM SIGMETRICS Performance Evaluation Review
Quality assessment of interactive voice applications
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Internet traffic modeling by means of Hidden Markov Models
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An autonomic ENUM implementation in network simulator-2
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A non-equilibrium analysis and control framework for active queue management
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M&M: multi-level Markov model for wireless link simulations
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Rigorous statistical analysis of internet loss measurements
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Dynamic resource modeling for heterogeneous wireless networks
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Performance analysis for (X,S)-bottleneck cell in large-scale wireless networks
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Path diversity over packet switched networks: performance analysis and rate allocation
IEEE/ACM Transactions on Networking (TON)
Model-based decision framework for autonomous application migration
ASMTA'11 Proceedings of the 18th international conference on Analytical and stochastic modeling techniques and applications
Internet traffic source based on hidden Markov model
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Model-based identification of dominant congested links
IEEE/ACM Transactions on Networking (TON)
Towards a bayesian statistical model for the classification of the causes of data loss
HPCC'05 Proceedings of the First international conference on High Performance Computing and Communications
Predicting packet loss statistics with hidden Markov models for FEC control
Computer Networks: The International Journal of Computer and Telecommunications Networking
Logic and model checking for hidden markov models
FORTE'05 Proceedings of the 25th IFIP WG 6.1 international conference on Formal Techniques for Networked and Distributed Systems
Performance evaluation with hidden markov models
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Belief bisimulation for hidden markov models: logical characterisation and decision algorithm
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Rigorous statistical analysis of internet loss measurements
IEEE/ACM Transactions on Networking (TON)
Improving wireless link simulation using multilevel markov models
ACM Transactions on Sensor Networks (TOSN)
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In this paper we perform the statistical analysis of an Internet communication channel. Our study is based on a Hidden Markov Model (HMM). The channel switches between different states; to each state corresponds the probability that a packet sent by the transmitter will be lost. The transition between the different states of the channel is governed by a Markov chain; this Markov chain is not observed directly, but the received packet flow provides some probabilistic information about the current state of the channel, as well as some information about the parameters of the model. In this paper we detail some useful algorithms for the estimation of the channel parameters, and for making inference about the state of the channel. We discuss the relevance of the Markov model of the channel; we also discuss how many states are required to pertinently model a real communication channel.