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New Method Of Measuring Tcp Performance Of Ip Network Using Bio-Computing

机译:利用生物计算测量Ip网络Tcp性能的新方法

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The measurement of performance of Internet Protocol IP network can be done by Transmission Control Protocol TCP because it guarantees send data from one end of the connection actually gets to the other end and in the same order it was send, otherwise an error is reported. There are several methods to measure the performance of TCP among these methods genetic algorithms, neural network, data mining etc, all these methods have weakness and can’t reach to correct measure of TCP performance. This paper proposed a new method of measuring TCP performance for real time IP network using Biocomputing, especially molecular calculation because it provides wisdom results and it can exploit all facilities of phylogentic analysis. Applying the new method at real time on Biological Kurdish Messenger BIOKM model designed to measure the TCP performance in two types of protocols File Transfer Protocol FTP and Internet Relay Chat Daemon IRCD. This application gives very close result of TCP performance comparing with TCP performance which obtains from Little’s law using same model (BIOKM), i.e. the different percentage of utilization (Busy or traffic industry) and the idle time which are obtained from a new method base on Bio-computing comparing with Little’s law was @ 0.13%.
机译:可以通过传输控制协议TCP来测量Internet协议IP网络的性能,因为它可以确保从连接的一端发送的数据实际到达另一端并以发送的相同顺序进行发送,否则将报告错误。在遗传算法,神经网络,数据挖掘等方法中,有几种测量TCP性能的方法,所有这些方法均存在缺陷,无法正确测量TCP性能。本文提出了一种新的利用生物计算技术测量实时IP网络TCP性能的方法,尤其是分子计算,因为它提供了明智的结果并且可以利用系统发育分析的所有设施。将新方法实时应用于Biological Kurdish Messenger BIOKM模型,该模型旨在测量两种协议中的TCP性能:文件传输协议FTP和Internet中继聊天守护程序IRCD。与使用相同模型(BIOKM)从利特尔定律获得的TCP性能相比,此应用程序给出了非常接近的TCP性能结果,即不同的利用率百分比(繁忙或交通行业)和空闲时间是根据一种新方法基于与利特尔定律相比,生物计算为0.13%。

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