Network Monitoring Enhancement based on Mathematical Modeling

L. K. B. Melhim, M. Jemmali, Mafawez T. Alharbi
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引用次数: 6

Abstract

Information about the network status can be obtained by analyzing the monitored network traffic. Because the network traffic is huge in size and is continuously varying in time, the process of analyzing the monitored traffic is extremely difficult and time and space consuming. To keep the monitoring system running, the administrator has to manage a trade-off between the amount of derived significant information vs. monitoring process complexity vs. time and space availability. This paper proposes a method that can simplify the administrator's work as well as the monitoring process of, without sacrificing significant information about the network. The proposed method presents a mathematical model that decomposes the monitored network traffic into two main parts: significant traffic and non-significant traffic. The decomposition rules are implemented based on experimental observations of the monitored network. Basic experiments show that the proposed mathematical model decomposes the network traffic based on the selected rules, and the model achieves a traffic reduction of approximately 80%.
基于数学建模的网络监控增强
通过对监控的网络流量进行分析,可以了解网络的运行状态。由于网络流量规模巨大且随时间不断变化,对监控流量进行分析的过程非常困难,且费时费力。为了保持监视系统的运行,管理员必须在获得的重要信息的数量、监视过程的复杂性、时间和空间的可用性之间进行权衡。本文提出了一种在不牺牲网络重要信息的前提下简化管理员工作和监控过程的方法。该方法提出了一个数学模型,将被监控的网络流量分解为重要流量和非重要流量两大部分。基于监测网络的实验观测实现了分解规则。基础实验表明,所提出的数学模型基于所选择的规则对网络流量进行分解,模型实现了约80%的流量缩减。
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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