A Statistical Testing Method for Accurate Assessment of Packet Loss Probability
Summary :
In this letter, we propose a packet loss probability (PLP) assessment method that uses active measurements. Considering the statistical nature of measurement data in a network, we adopt the confidence interval to assess whether the performance of a network complies with a target PLP or not. Using both analysis and simulations, we show that the proposed method can guarantee that the probabilities of erroneous assessments are not more than a given significance level. In addition, we provide a systematic method to determine the number of probing packets needed for statistical assurance by presenting a clear relation between the assessment accuracy and the measurement overhead.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E95-B No.9 pp.2968-2971
- Publication Date
- 2012/09/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E95.B.2968
- Type of Manuscript
- LETTER
- Category
- Network Management/Operation
Authors
Keyword
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Iksoon HWANG, Jaesung PARK, "A Statistical Testing Method for Accurate Assessment of Packet Loss Probability" in IEICE TRANSACTIONS on Communications,
vol. E95-B, no. 9, pp. 2968-2971, September 2012, doi: 10.1587/transcom.E95.B.2968.
Abstract: In this letter, we propose a packet loss probability (PLP) assessment method that uses active measurements. Considering the statistical nature of measurement data in a network, we adopt the confidence interval to assess whether the performance of a network complies with a target PLP or not. Using both analysis and simulations, we show that the proposed method can guarantee that the probabilities of erroneous assessments are not more than a given significance level. In addition, we provide a systematic method to determine the number of probing packets needed for statistical assurance by presenting a clear relation between the assessment accuracy and the measurement overhead.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.2968/_p
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@ARTICLE{e95-b_9_2968,
author={Iksoon HWANG, Jaesung PARK, },
journal={IEICE TRANSACTIONS on Communications},
title={A Statistical Testing Method for Accurate Assessment of Packet Loss Probability},
year={2012},
volume={E95-B},
number={9},
pages={2968-2971},
abstract={In this letter, we propose a packet loss probability (PLP) assessment method that uses active measurements. Considering the statistical nature of measurement data in a network, we adopt the confidence interval to assess whether the performance of a network complies with a target PLP or not. Using both analysis and simulations, we show that the proposed method can guarantee that the probabilities of erroneous assessments are not more than a given significance level. In addition, we provide a systematic method to determine the number of probing packets needed for statistical assurance by presenting a clear relation between the assessment accuracy and the measurement overhead.},
keywords={},
doi={10.1587/transcom.E95.B.2968},
ISSN={1745-1345},
month={September},}
Copy
TY - JOUR
TI - A Statistical Testing Method for Accurate Assessment of Packet Loss Probability
T2 - IEICE TRANSACTIONS on Communications
SP - 2968
EP - 2971
AU - Iksoon HWANG
AU - Jaesung PARK
PY - 2012
DO - 10.1587/transcom.E95.B.2968
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2012
AB - In this letter, we propose a packet loss probability (PLP) assessment method that uses active measurements. Considering the statistical nature of measurement data in a network, we adopt the confidence interval to assess whether the performance of a network complies with a target PLP or not. Using both analysis and simulations, we show that the proposed method can guarantee that the probabilities of erroneous assessments are not more than a given significance level. In addition, we provide a systematic method to determine the number of probing packets needed for statistical assurance by presenting a clear relation between the assessment accuracy and the measurement overhead.
ER -
English
