An Enhanced Bio-Inspired Aco Model For Fault-Tolerant Networks

Samuel Lusweti, C. Odoyo, Dorothy A. Rambim
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Abstract

This research mainly aimed at establishing the current functionality of computer network systems, evaluating the causes of network faults, and developing an enhanced model based on the existing ACO model to help solve these network issues. The new model developed suggests ways of solving packet looping and traffic problems in common networks that use standard switches. The researcher used simulation as a method of carrying out this research whereby an enhanced algorithm was developed and used to monitor and control the flow of packets over the computer network. The researcher used an experimental research design that involved the development of a computer model and collecting data from the model. The traffic of packets was monitored by the Cisco Packet Tracer tool in which a network of four computers was created and used to simulate a real network system. Data collected from the simulated network was analyzed using the ping tool, observation of the movement of packets in the network and message delivery status displayed by the Cisco Packet Tracer. In the experiment, a control was used to show the behavior of the network in ideal conditions without varying any parameters. Here, all the packets sent were completely and correctly received. Secondly, when a loop was introduced in the network it was found that the network was adversely affected because for all packets sent by the computers on the network, none of them was delivered due to stagnation of packets. In the third experiment, still, with the loops on, a new ACO model was introduced in the cisco packet tracer used to simulate the network. In this experiment, all the packets sent were completely and correctly delivered just like in the control experiment.
容错网络的增强仿生蚁群模型
本研究主要旨在建立计算机网络系统的现有功能,评估网络故障的原因,并在现有蚁群算法模型的基础上开发增强模型来帮助解决这些网络问题。所开发的新模型提出了解决使用标准交换机的普通网络中的分组环路和流量问题的方法。研究人员使用模拟作为开展这项研究的一种方法,从而开发了一种增强的算法,并用于监视和控制计算机网络上的数据包流。研究人员采用了一种实验研究设计,包括开发计算机模型并从模型中收集数据。数据包的流量由Cisco Packet Tracer工具监控,该工具创建了一个由四台计算机组成的网络,并用于模拟真实的网络系统。从模拟网络中收集的数据使用ping工具进行分析,观察网络中数据包的运动和Cisco Packet Tracer显示的消息传递状态。在实验中,在不改变任何参数的情况下,使用一个控制来显示网络在理想条件下的行为。在这里,所有发送的数据包都被完整正确地接收到。其次,当在网络中引入环路时,发现网络受到了不利影响,因为对于网络上的计算机发送的所有数据包,由于数据包的停滞,没有一个数据包被发送。在第三个实验中,仍然有环路,在cisco数据包跟踪器中引入了一个新的蚁群算法模型来模拟网络。在本实验中,与控制实验一样,所有发送的数据包都得到了完整、正确的发送。
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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