Network visualisation and analysis tool based on logical network abridgment

Theodoros N. Arvanitis, C. Constantinou, A. Stepanenko, Y. Sun, B. Liu, K. Baughan
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引用次数: 15

Abstract

A novel procedure of summarizing and abstracting the topology and distributed statistical measures of routing performance for communication networks is presented. This procedure, called logical network abridgment (LNA), forms the basis of a novel resilient recursive routing (R3) protocol. In this paper, we investigate the usefulness of LNA in visualizing and defining the state of health of a communication network. Traditionally, connectivity and metrics (such as link utilization, end-to-end delay, etc.) are used to provide indications of the state of health of a network. However, connectivity alone tells us little about the intrinsic diversity of the network and therefore its resiliency to attacks or attrition. Similarly, individual localized or path specific metrics tell us little about the overall intrinsic capability of the network. The LNA procedure summarizes the metric of choice over the total network and is thus capable of describing the intrinsic state of its health. In the context of military command and control, as well as commercial network management, scenarios, operators wish to easily create well-designed networks, in terms of resiliency and performance. Furthermore, operators need to identify, in an intuitive manner, the vulnerabilities that exist in a network. In addition, the consequences of actions taken to remedy failures or strengthen resiliency are often time consuming to understand in a large distributed system. The LNA procedure offers a quick and reliable algorithmic visual tool to achieve these. The paper presents work funded by the US Air-Force Research Laboratory (AFRL-EOARD) that demonstrates the potential of network visualization and analysis through the proposed LNA procedure
基于逻辑网络精简的网络可视化分析工具
提出了一种对通信网络路由性能的拓扑和分布式统计度量进行总结和抽象的新方法。这个过程被称为逻辑网络精简(LNA),它构成了一种新型弹性递归路由(R3)协议的基础。在本文中,我们研究了LNA在可视化和定义通信网络健康状态方面的有用性。传统上,连接性和度量(如链路利用率、端到端延迟等)用于提供网络健康状态的指示。然而,连通性本身并没有告诉我们网络的内在多样性,因此它对攻击或损耗的弹性很小。类似地,个别的局部的或路径特定的度量也不能告诉我们网络的整体内在能力。LNA过程总结了整个网络的选择度量,因此能够描述其健康的内在状态。在军事指挥和控制以及商业网络管理的背景下,运营商希望在弹性和性能方面轻松创建设计良好的网络。此外,运营商需要以直观的方式识别网络中存在的漏洞。此外,在大型分布式系统中,为补救故障或加强弹性而采取的行动的后果通常需要花费大量时间才能理解。LNA程序提供了一种快速可靠的算法可视化工具来实现这些目标。本文介绍了由美国空军研究实验室(AFRL-EOARD)资助的工作,该工作通过拟议的LNA程序展示了网络可视化和分析的潜力
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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