Useful Traffic Loss Rate Estimation Based on Network Layer Measurement

The current network is information asymmetric, about what happens in the network, and end users know much less than the Internet service provider. Especially, in a non-neutral network, for commercial interests, the operator's behavior of adjusting network configuration and controlling data tran...

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Main Authors: Haoliang Lan, Wei Ding, Jian Gong
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8620210/
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spelling doaj-4602ad50946c4280b377bdd9857d249c2021-03-29T22:58:22ZengIEEEIEEE Access2169-35362019-01-017332893330310.1109/ACCESS.2019.28939518620210Useful Traffic Loss Rate Estimation Based on Network Layer MeasurementHaoliang Lan0https://orcid.org/0000-0002-6200-3552Wei Ding1Jian Gong2School of Cyber Science and Engineering, Southeast University, Nanjing, ChinaSchool of Cyber Science and Engineering, Southeast University, Nanjing, ChinaSchool of Cyber Science and Engineering, Southeast University, Nanjing, ChinaThe current network is information asymmetric, about what happens in the network, and end users know much less than the Internet service provider. Especially, in a non-neutral network, for commercial interests, the operator's behavior of adjusting network configuration and controlling data transmission priority will seriously infringe the vital interests of end users. In order to rebalance such information asymmetry to empower users, researchers have been committed to the study of end-user network performance measurements. In this paper, we contribute to the ongoing efforts to empower users by defining and estimating the useful traffic loss rate (UTLR) experienced by a Transfer Control Protocol connection. The work presented in this paper is inspired by our empirical observation that what the operator's behavior ultimately affects is the link quality, and therefore, a good characterization of the impact of link quality changes on user's quality of experience (QoE) is the prerequisite for empowering users. To this end, the metric UTLR is first defined in this paper to better characterize the impact of link quality changes on user's QoE, and then, we construct a series of heuristic rules with the receiver network layer information to estimate UTLR. To improve the estimation accuracy, the effects of insufficient duplicate ACKs, static round trip time, enlarged loss period, repeated packet losses, and identification field cyclic reuse are also considered. Finally, the gradual and rigorous experiments show that the proposed method achieves a stable and precise estimation for UTLR over the entire measured parameter space.https://ieeexplore.ieee.org/document/8620210/Information asymmetricnetwork neutralityquality of experienceperformance measurementuseful traffic loss rate
collection DOAJ
language English
format Article
sources DOAJ
author Haoliang Lan
Wei Ding
Jian Gong
spellingShingle Haoliang Lan
Wei Ding
Jian Gong
Useful Traffic Loss Rate Estimation Based on Network Layer Measurement
IEEE Access
Information asymmetric
network neutrality
quality of experience
performance measurement
useful traffic loss rate
author_facet Haoliang Lan
Wei Ding
Jian Gong
author_sort Haoliang Lan
title Useful Traffic Loss Rate Estimation Based on Network Layer Measurement
title_short Useful Traffic Loss Rate Estimation Based on Network Layer Measurement
title_full Useful Traffic Loss Rate Estimation Based on Network Layer Measurement
title_fullStr Useful Traffic Loss Rate Estimation Based on Network Layer Measurement
title_full_unstemmed Useful Traffic Loss Rate Estimation Based on Network Layer Measurement
title_sort useful traffic loss rate estimation based on network layer measurement
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description The current network is information asymmetric, about what happens in the network, and end users know much less than the Internet service provider. Especially, in a non-neutral network, for commercial interests, the operator's behavior of adjusting network configuration and controlling data transmission priority will seriously infringe the vital interests of end users. In order to rebalance such information asymmetry to empower users, researchers have been committed to the study of end-user network performance measurements. In this paper, we contribute to the ongoing efforts to empower users by defining and estimating the useful traffic loss rate (UTLR) experienced by a Transfer Control Protocol connection. The work presented in this paper is inspired by our empirical observation that what the operator's behavior ultimately affects is the link quality, and therefore, a good characterization of the impact of link quality changes on user's quality of experience (QoE) is the prerequisite for empowering users. To this end, the metric UTLR is first defined in this paper to better characterize the impact of link quality changes on user's QoE, and then, we construct a series of heuristic rules with the receiver network layer information to estimate UTLR. To improve the estimation accuracy, the effects of insufficient duplicate ACKs, static round trip time, enlarged loss period, repeated packet losses, and identification field cyclic reuse are also considered. Finally, the gradual and rigorous experiments show that the proposed method achieves a stable and precise estimation for UTLR over the entire measured parameter space.
topic Information asymmetric
network neutrality
quality of experience
performance measurement
useful traffic loss rate
url https://ieeexplore.ieee.org/document/8620210/
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AT weiding usefultrafficlossrateestimationbasedonnetworklayermeasurement
AT jiangong usefultrafficlossrateestimationbasedonnetworklayermeasurement
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