Abstract

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 Packet Loss Measurement at the access network boundary Based on Sampled Flow (PLMBSF) 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 PLMBSF, compared with the trace-based loss measurement is only different in the input data granularity. Therefore, PLMBSF and its advantages are also applicable to aggregated traffic.

Highlights

  • In our previous work [4], we proposed an application-level packet loss rate measurement model IM-L-Rex from the perspective of users to reverse the information asymmetry disfavoring users

  • Without making pre-assumptions on the performance of the intra-domain network, the performance status of intra-domain and inter-domain can be given at the same time, which is more in line with the actual demand of the current refined network performance management

  • The model PLMBSF constructed and evaluated in this paper is able to realize the estimation for packet losses before and after the monitoring point when only sampled flow is available

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. By analyzing these researches, it can be found that: (1) The researches on packet loss measurement based on sampled flow is relatively few in the current literature of boundary performance measurement; (2) the existing research methods either require ISP to widely deploy flow recording and measurement equipment in their own Point of Presence (PoP) and share measurement results among various points, or do not distinguish the performance inside and outside the monitored network, or assume that the performance in the monitored network will not become an application bottleneck, while only measuring and estimating the performance outside the monitored network. It can be seen that the current research does not fully fit the actual scenario of an access network boundary, so it is not applicable, or fully meet the actual demand for access network boundary packet loss measurement To this end, this paper adds to the body of measurement techniques by constructing model PLMBSF.

PLMBSF
Model Description
Problem Setting and Challenges
Methodology
Regression Analysis
Platform
Target Parameter Determination
Sampling Analysis and Processing
Experimental Verification
Effect of Flow Length
Effect of Loss Rate
The selected
Effect of Flow Sampling
Application
Findings
Conclusions
Full Text
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