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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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/ |
work_keys_str_mv |
AT haolianglan usefultrafficlossrateestimationbasedonnetworklayermeasurement AT weiding usefultrafficlossrateestimationbasedonnetworklayermeasurement AT jiangong usefultrafficlossrateestimationbasedonnetworklayermeasurement |
_version_ |
1724190420011843584 |