Packet Loss Measurement Based on Sampled Flow

This paper is devoted to further strengthening, in the current asymmetric information environment, the informed level of operators about network performance. Specifically, in view of the burst and perishability of a packet loss event, to better meet the real-time requirements of current high-speed b...

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Autores principales:	Haoliang Lan, Jie Xu, Qun Wang, Wei Ding
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	information asymmetry network performance measurement refined network performance management sampled flow packet loss rate Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/1867bd7ca7c54167b83c9143fd01af74
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id	oai:doaj.org-article:1867bd7ca7c54167b83c9143fd01af74
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spelling	oai:doaj.org-article:1867bd7ca7c54167b83c9143fd01af742021-11-25T19:07:09ZPacket Loss Measurement Based on Sampled Flow10.3390/sym131121492073-8994https://doaj.org/article/1867bd7ca7c54167b83c9143fd01af742021-11-01T00:00:00Zhttps://www.mdpi.com/2073-8994/13/11/2149https://doaj.org/toc/2073-8994This paper is devoted to further strengthening, in the current asymmetric information environment, the informed level of operators about network performance. Specifically, in view of the burst and perishability of a packet loss event, to better meet the real-time requirements of current high-speed backbone performance monitoring, a model for <i>P</i>acket <i>L</i>oss <i>M</i>easurement at the access network boundary <i>B</i>ased on <i>S</i>ampled <i>F</i>low (<i>PLMBSF</i>) is presented in this paper under the premise of both cost and real-time. The model overcomes problems such as the inability of previous estimation to distinguish between packet losses before and after the monitoring point, deployment difficulties and cooperative operation consistency. Drawing support from the Mathis equation and regression analysis, the measurement for packet losses before and after the monitoring point can be realized when using only the sampled flows generated by the access network boundary equipment. The comparison results with the trace-based passive packet loss measurement show that although the proposed model is easily affected by factors such as flow length, loss rate, sampling rate, the overall accuracy is still within the acceptable range. In addition, the proposed model <i>PLMBSF</i>, compared with the trace-based loss measurement is only different in the input data granularity. Therefore, <i>PLMBSF</i> and its advantages are also applicable to aggregated traffic.Haoliang LanJie XuQun WangWei DingMDPI AGarticleinformation asymmetrynetwork performance measurementrefined network performance managementsampled flowpacket loss rateMathematicsQA1-939ENSymmetry, Vol 13, Iss 2149, p 2149 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	information asymmetry network performance measurement refined network performance management sampled flow packet loss rate Mathematics QA1-939
spellingShingle	information asymmetry network performance measurement refined network performance management sampled flow packet loss rate Mathematics QA1-939 Haoliang Lan Jie Xu Qun Wang Wei Ding Packet Loss Measurement Based on Sampled Flow
description	This paper is devoted to further strengthening, in the current asymmetric information environment, the informed level of operators about network performance. Specifically, in view of the burst and perishability of a packet loss event, to better meet the real-time requirements of current high-speed backbone performance monitoring, a model for <i>P</i>acket <i>L</i>oss <i>M</i>easurement at the access network boundary <i>B</i>ased on <i>S</i>ampled <i>F</i>low (<i>PLMBSF</i>) is presented in this paper under the premise of both cost and real-time. The model overcomes problems such as the inability of previous estimation to distinguish between packet losses before and after the monitoring point, deployment difficulties and cooperative operation consistency. Drawing support from the Mathis equation and regression analysis, the measurement for packet losses before and after the monitoring point can be realized when using only the sampled flows generated by the access network boundary equipment. The comparison results with the trace-based passive packet loss measurement show that although the proposed model is easily affected by factors such as flow length, loss rate, sampling rate, the overall accuracy is still within the acceptable range. In addition, the proposed model <i>PLMBSF</i>, compared with the trace-based loss measurement is only different in the input data granularity. Therefore, <i>PLMBSF</i> and its advantages are also applicable to aggregated traffic.
format	article
author	Haoliang Lan Jie Xu Qun Wang Wei Ding
author_facet	Haoliang Lan Jie Xu Qun Wang Wei Ding
author_sort	Haoliang Lan
title	Packet Loss Measurement Based on Sampled Flow
title_short	Packet Loss Measurement Based on Sampled Flow
title_full	Packet Loss Measurement Based on Sampled Flow
title_fullStr	Packet Loss Measurement Based on Sampled Flow
title_full_unstemmed	Packet Loss Measurement Based on Sampled Flow
title_sort	packet loss measurement based on sampled flow
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/1867bd7ca7c54167b83c9143fd01af74
work_keys_str_mv	AT haolianglan packetlossmeasurementbasedonsampledflow AT jiexu packetlossmeasurementbasedonsampledflow AT qunwang packetlossmeasurementbasedonsampledflow AT weiding packetlossmeasurementbasedonsampledflow
_version_	1718410262740992000

Packet Loss Measurement Based on Sampled Flow

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