Multiwavelet based-approach to detect shared congestion in computer networks

T. Z. Ismaeel, A. A. Kareem
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引用次数: 0

Abstract

Internet paths sharing the same congested link can be identified using several shared congestion detection techniques. The new detection technique which is proposed in this paper depends on the previous novel technique (delay correlation with wavelet denoising (DCW) with new denoising method called Discrete Multiwavelet Transform (DMWT) as signal denoising to separate between queuing delay caused by network congestion and delay caused by various other delay variations. The new detection technique provides faster convergence (3 to 5 seconds less than previous novel technique) while using fewer probe packets approximately half numbers than the previous novel technique, so it will reduce the overload on the network caused by probe packets. Thus, new detection technique will improve the overall performance of computer network.
基于多小波的计算机网络共享拥塞检测方法
可以使用几种共享拥塞检测技术来识别共享同一拥塞链路的互联网路径。本文提出的新检测技术是在原有的小波延迟相关去噪(DCW)技术的基础上,采用离散多小波变换(DMWT)作为信号去噪方法,将网络拥塞引起的排队延迟与其他各种延迟变化引起的延迟分离开来。该检测方法收敛速度快(比原方法缩短了3 ~ 5秒),探测包数量少(约为原方法的一半),减少了探测包对网络造成的过载。因此,新的检测技术将提高计算机网络的整体性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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24
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16 weeks
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