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New Method of Measuring TCP Performance of IP Network using Bio-computing

机译:用maTLaB测量Ip网络TCp性能的新方法   生物计算

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摘要

The measurement of performance of Internet Protocol IP network can be done byTransmission Control Protocol TCP because it guarantees send data from one endof the connection actually gets to the other end and in the same order it wassend, otherwise an error is reported. There are several methods to measure theperformance of TCP among these methods genetic algorithms, neural network, datamining etc, all these methods have weakness and can't reach to correct measureof TCP performance. This paper proposed a new method of measuring TCPperformance for real time IP network using Biocomputing, especially molecularcalculation because it provides wisdom results and it can exploit allfacilities of phylogentic analysis. Applying the new method at real time onBiological Kurdish Messenger BIOKM model designed to measure the TCPperformance in two types of protocols File Transfer Protocol FTP and InternetRelay Chat Daemon IRCD. This application gives very close result of TCPperformance comparing with TCP performance which obtains from Little's lawusing same model (BIOKM), i.e. the different percentage of utilization (Busy ortraffic industry) and the idle time which are obtained from a new method baseon Bio-computing comparing with Little's law was (nearly) 0.13%. KEYWORDS Bio-computing, TCP performance, Phylogenetic tree, Hybridized Model(Normalized), FTP, IRCD
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实际发送数据到另一端并以发送的相同顺序发送数据,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。本文提出了一种利用生物计算技术来测量实时IP网络TCP性能的新方法,特别是分子计算,因为它提供了明智的结果并且可以利用系统分析的所有便利。在生物库尔德信使BIOKM模型上实时应用新方法,该模型旨在测量两种协议中的TCP性能:文件传输协议FTP和InternetRelay聊天守护程序IRCD。与使用Little Little使用相同模型(BIOKM)的定律获得的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(繁忙的流量行业)和空闲时间是根据基于生物计算的新方法得出的。符合利特尔定律的国家(几乎)为0.13%。关键词生物计算,TCP性能,系统树,混合模型(规范化),FTP,IRCD

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