Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/211828
Title: Estimating End-to-End Available Bandwidth With Noises
Authors: Rongping Lin;Xingqiu He;Sheng Wang;Shan Luo;Yong Xiao;Xiaoning Zhang
Year: 2017
Publisher: IEEE
Abstract: Available bandwidth (AB) measurement technologies have been widely applied in evaluating the efficiency of the network communication. The performance of most existing AB measurement methods relies on the quality of the input data, which inevitably contains noises during the measurement. These noises can be multisourcing from end-to-end packet transmission and measuring, and in many practical situations, are nonnegligible compared with the value of measuring data. This paper focuses on estimating the end-to-end AB in terms of packet delays from sampled data that is contaminated by noises. We propose a novel algorithm, referred to as the adaptive-threshold algorithm, that can estimate and adaptively adjust a threshold value to separate the packets affected by the queueing delays from the rest of the packets to further improve the accuracy of AB measurement. A laboratory network-based simulation has been presented to evaluate the performance of our proposed algorithm. Numerical results demonstrate that the proposed algorithm can significantly improve the accuracy of the measurement and the estimated AB is within 10&x0025; difference from the true AB.
Description: 
URI: http://localhost/handle/Hannan/211828
volume: 5
More Information: 22584,
22589
Appears in Collections:2017

Files in This Item:
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8013024.pdf9.34 MBAdobe PDF
Title: Estimating End-to-End Available Bandwidth With Noises
Authors: Rongping Lin;Xingqiu He;Sheng Wang;Shan Luo;Yong Xiao;Xiaoning Zhang
Year: 2017
Publisher: IEEE
Abstract: Available bandwidth (AB) measurement technologies have been widely applied in evaluating the efficiency of the network communication. The performance of most existing AB measurement methods relies on the quality of the input data, which inevitably contains noises during the measurement. These noises can be multisourcing from end-to-end packet transmission and measuring, and in many practical situations, are nonnegligible compared with the value of measuring data. This paper focuses on estimating the end-to-end AB in terms of packet delays from sampled data that is contaminated by noises. We propose a novel algorithm, referred to as the adaptive-threshold algorithm, that can estimate and adaptively adjust a threshold value to separate the packets affected by the queueing delays from the rest of the packets to further improve the accuracy of AB measurement. A laboratory network-based simulation has been presented to evaluate the performance of our proposed algorithm. Numerical results demonstrate that the proposed algorithm can significantly improve the accuracy of the measurement and the estimated AB is within 10&x0025; difference from the true AB.
Description: 
URI: http://localhost/handle/Hannan/211828
volume: 5
More Information: 22584,
22589
Appears in Collections:2017

Files in This Item:
File SizeFormat 
8013024.pdf9.34 MBAdobe PDF
Title: Estimating End-to-End Available Bandwidth With Noises
Authors: Rongping Lin;Xingqiu He;Sheng Wang;Shan Luo;Yong Xiao;Xiaoning Zhang
Year: 2017
Publisher: IEEE
Abstract: Available bandwidth (AB) measurement technologies have been widely applied in evaluating the efficiency of the network communication. The performance of most existing AB measurement methods relies on the quality of the input data, which inevitably contains noises during the measurement. These noises can be multisourcing from end-to-end packet transmission and measuring, and in many practical situations, are nonnegligible compared with the value of measuring data. This paper focuses on estimating the end-to-end AB in terms of packet delays from sampled data that is contaminated by noises. We propose a novel algorithm, referred to as the adaptive-threshold algorithm, that can estimate and adaptively adjust a threshold value to separate the packets affected by the queueing delays from the rest of the packets to further improve the accuracy of AB measurement. A laboratory network-based simulation has been presented to evaluate the performance of our proposed algorithm. Numerical results demonstrate that the proposed algorithm can significantly improve the accuracy of the measurement and the estimated AB is within 10&x0025; difference from the true AB.
Description: 
URI: http://localhost/handle/Hannan/211828
volume: 5
More Information: 22584,
22589
Appears in Collections:2017

Files in This Item:
File SizeFormat 
8013024.pdf9.34 MBAdobe PDF