Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/61061
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Type: Conference paper
Title: Rigorous statistical analysis of internet loss measurements
Author: Nguyen, H.
Roughan, M.
Citation: ACM SIGMETRICS Performance Evaluation Review Special Issue, 2010 / vol.38, iss.1 Sp Iss, pp.361-362
Publisher: Association for Computing Machinery, Inc.
Publisher Place: United States
Issue Date: 2010
Series/Report no.: ACM SIGMETRICS Performance Evaluation Review Special Issue
ISBN: 9781450302111
ISSN: 0163-5999
Conference Name: ACM SIG on Computer and Communications Metrics and Performance (SIGMETRICS) (14 Jun 2010 - 18 Jun 2010 : SIGMETRICS Performance Evaluation Review)
Statement of
Responsibility: 
Hung X. Nguyen and Matthew Roughan
Abstract: <jats:p>In this paper we present a rigorous technique for estimating confidence intervals of packet loss measurements. Our approach is motivated by simple observations that the loss process can be modelled as an alternating renewal process. We use this structure to build a Hidden Semi-Markov Model (HSMM) for the measurement process, and from this estimate both loss rates, and their confidence intervals. We use both simulations and a set of more than 18000 hours of real Internet measurements (between dedicated measurement hosts, PlanetLab hosts, web and DNS servers) to cross-validate our estimates, and show that they are significantly more accurate than any current alternative.</jats:p>
Rights: Copyright is held by the author/owner(s).
RMID: 0020100547
DOI: 10.1145/1811099.1811087
Published version: https://doi.org/10.1145/1811039
Appears in Collections:Mathematical Sciences publications

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