IEICE TRANSACTIONS on Information
Proposal and Evaluation of Method to Estimate Packet Loss-Rate Using Correlation of Packet Delay and Loss
Summary :
We previously proposed a change-of-measure based performance measurement method which combines active and passive measurement to estimate performance experienced by user packets and applied this to estimate packet delay. In this paper, we apply it to estimating loss rate. Since packets are rarely lost in current networks, rate measurement usually requires a huge number of probe packets, which imposes a non-negligible load on networks. We propose a loss-rate estimation method which requires significantly fewer number of probe packets. In our proposed method, the correlation between delay and loss is measured in advance, and at the time of measurement, the time-averaged loss rate is estimated by using the delay of probe packets and the correlation. We also applied our change-of-measure framework to estimating the loss rate in user packets by using this time-averaged loss rate. We prove that the mean square error in our method is lower than that simple loss measurement, which is estimated by dividing the number of lost packets by the total number of sent packets. We evaluated our method through simulations and actual measurements and found that it can estimate below 10-3 packet loss rate with only 900 probe packets.
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- IEICE TRANSACTIONS on Information Vol.E86-D No.11 pp.2371-2379
- Publication Date
- 2003/11/01
- Publicized
- Online ISSN
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- Type of Manuscript
- Special Section PAPER (Special Issue on New Technologies in the Internet and their Applications)
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Keisuke ISHIBASHI, Masaki AIDA, Shin-ichi KURIBAYASHI, "Proposal and Evaluation of Method to Estimate Packet Loss-Rate Using Correlation of Packet Delay and Loss" in IEICE TRANSACTIONS on Information,
vol. E86-D, no. 11, pp. 2371-2379, November 2003, doi: .
Abstract: We previously proposed a change-of-measure based performance measurement method which combines active and passive measurement to estimate performance experienced by user packets and applied this to estimate packet delay. In this paper, we apply it to estimating loss rate. Since packets are rarely lost in current networks, rate measurement usually requires a huge number of probe packets, which imposes a non-negligible load on networks. We propose a loss-rate estimation method which requires significantly fewer number of probe packets. In our proposed method, the correlation between delay and loss is measured in advance, and at the time of measurement, the time-averaged loss rate is estimated by using the delay of probe packets and the correlation. We also applied our change-of-measure framework to estimating the loss rate in user packets by using this time-averaged loss rate. We prove that the mean square error in our method is lower than that simple loss measurement, which is estimated by dividing the number of lost packets by the total number of sent packets. We evaluated our method through simulations and actual measurements and found that it can estimate below 10-3 packet loss rate with only 900 probe packets.
URL: https://global.ieice.org/en_transactions/information/10.1587/e86-d_11_2371/_p
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@ARTICLE{e86-d_11_2371,
author={Keisuke ISHIBASHI, Masaki AIDA, Shin-ichi KURIBAYASHI, },
journal={IEICE TRANSACTIONS on Information},
title={Proposal and Evaluation of Method to Estimate Packet Loss-Rate Using Correlation of Packet Delay and Loss},
year={2003},
volume={E86-D},
number={11},
pages={2371-2379},
abstract={We previously proposed a change-of-measure based performance measurement method which combines active and passive measurement to estimate performance experienced by user packets and applied this to estimate packet delay. In this paper, we apply it to estimating loss rate. Since packets are rarely lost in current networks, rate measurement usually requires a huge number of probe packets, which imposes a non-negligible load on networks. We propose a loss-rate estimation method which requires significantly fewer number of probe packets. In our proposed method, the correlation between delay and loss is measured in advance, and at the time of measurement, the time-averaged loss rate is estimated by using the delay of probe packets and the correlation. We also applied our change-of-measure framework to estimating the loss rate in user packets by using this time-averaged loss rate. We prove that the mean square error in our method is lower than that simple loss measurement, which is estimated by dividing the number of lost packets by the total number of sent packets. We evaluated our method through simulations and actual measurements and found that it can estimate below 10-3 packet loss rate with only 900 probe packets.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - Proposal and Evaluation of Method to Estimate Packet Loss-Rate Using Correlation of Packet Delay and Loss
T2 - IEICE TRANSACTIONS on Information
SP - 2371
EP - 2379
AU - Keisuke ISHIBASHI
AU - Masaki AIDA
AU - Shin-ichi KURIBAYASHI
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E86-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2003
AB - We previously proposed a change-of-measure based performance measurement method which combines active and passive measurement to estimate performance experienced by user packets and applied this to estimate packet delay. In this paper, we apply it to estimating loss rate. Since packets are rarely lost in current networks, rate measurement usually requires a huge number of probe packets, which imposes a non-negligible load on networks. We propose a loss-rate estimation method which requires significantly fewer number of probe packets. In our proposed method, the correlation between delay and loss is measured in advance, and at the time of measurement, the time-averaged loss rate is estimated by using the delay of probe packets and the correlation. We also applied our change-of-measure framework to estimating the loss rate in user packets by using this time-averaged loss rate. We prove that the mean square error in our method is lower than that simple loss measurement, which is estimated by dividing the number of lost packets by the total number of sent packets. We evaluated our method through simulations and actual measurements and found that it can estimate below 10-3 packet loss rate with only 900 probe packets.
ER -
English
