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Statistical inverse problems in active network tomography

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TLDR
This paper is concerned with active network tomography where the goal is to recover information about quality-of-service parameters at the link level from aggregate data measured on end-to- end network paths.
Abstract
The analysis of computer and communication networks gives rise to some interesting inverse problems. This paper is concerned with active network tomography where the goal is to recover information about quality-of-service (QoS) parameters at the link level from aggregate data measured on end-to- end network paths. The estimation and monitoring of QoS parameters, such as loss rates and delays, are of considerable interest to network engineers and Internet service providers. The paper provides a review of the inverse problems and recent research on inference for loss rates and delay distributions. Some new results on parametric inference for delay distributions are also developed. In addition, a real application on Internet telephony is discussed.

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Citations
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From Timed Pass Rate Distribution

Weiping Zhu
TL;DR: In this paper, an expectation and maximization procedure is added that considers all information obtained by receivers, and the results show the new method performs significantly better than the previous method without scarifying its performance.
Proceedings ArticleDOI

From Timed Pass Rate to Estimate Delay Distribution

TL;DR: The previous work to overcome the weakness is extended, where an expectation and maximization procedure is added that considers all information obtained by receivers and the results show the new method performs significantly better than the previous method without scarifying its performance.
Posted Content

Generalized Network Tomography (journal version)

TL;DR: If the path-link matrix of the network has the property that every pair of its columns are linearly independent, then it is shown that the algorithm can uniquely identify the link metric distributions up to any desired accuracy.
Dissertation

Internet performance profiling of countries and destinations

TL;DR: In this paper, the authors present research into data capturing techniques and data analysis in order to discern the Internet performance profiles of countries, both spatially and temporally, using active Internet probing and traffic monitoring strategies in collaboration with the European RIPE Atlas project.
References
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Book

Nonlinear Regression Analysis and Its Applications

TL;DR: This book offers a balanced presentation of the theoretical, practical, and computational aspects of nonlinear regression and provides background material on linear regression, including the geometrical development for linear and nonlinear least squares.
BookDOI

Self-Similar Network Traffic and Performance Evaluation

TL;DR: Self-similar Network Traffic: An Overview (K. Park & W. Willinger).
Journal ArticleDOI

Network Tomography: Estimating Source-Destination Traffic Intensities from Link Data

TL;DR: In this article, the problem of estimating the node-to-node traffic intensity from repeated measurements of traffic on the links of a network is formulated and discussed under Poisson assumptions and two types of traffic-routing regimens: deterministic (a fixed known path between each directed pair of nodes) and Markovian (a random path between a pair of vertices, determined according to a known Markov chain fixed for that pair).
Journal ArticleDOI

Network Tomography: Recent Developments

TL;DR: This article introduces network tomography, a new field which it is believed will benefit greatly from the wealth of statistical methods and algorithms including the application of pseudo-likelihood methods and tree estimation formulations.
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