NOM-a tool for optimal design and performance evaluation of routing strategies and its application to the Telenet network

IEEE INFOCOM '88,Seventh Annual Joint Conference of the IEEE Computer and Communcations Societies. Networks: Evolution or Revolution? Pub Date : 1988-03-27 DOI:10.1109/INFCOM.1988.12969

A. Gersht, A. Shulman, P. Nemirovsky

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引用次数: 6

Abstract

A network optimization model (NOM) that provides a tool for performance analysis and optimal design of a broad class of routing strategies is presented. It can evaluate and optimize both static and dynamic, local and global routing strategies. The tool is applicable to both packet-switched and circuit-switched networks. NOM software is based on original modeling methods and optimization algorithms. It is user-friendly and menu-driven, and has extensive 'what if' capabilities. NOM can be used for performance evaluation of existing routing strategy and for optimal routing design for a given performance criterion. As a performance evaluation tool, for a given network topology, link and node capacities, point-to-point demand matrix, and routing strategy, NOM models the routing and computes important characteristics of network performance. As a routing optimization tool, for a given network topology, link and node capacities, point-to-point demand matrix, and performance criterion, NOM generates the optimal routing, and computes important characteristics of network performance. The current Telenet local dynamic routing strategy is compared with a set of optimal routing strategies designed for various performance criteria.<>

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路由策略优化设计与性能评估工具及其在远程网络中的应用

提出了一种网络优化模型(NOM)，该模型为各种路由策略的性能分析和优化设计提供了一种工具。它可以评估和优化静态和动态、本地和全局路由策略。该工具既适用于分组交换网络，也适用于电路交换网络。NOM软件是基于原有的建模方法和优化算法。它是用户友好的和菜单驱动的，并有广泛的“如果”功能。NOM可用于现有路由策略的性能评估和给定性能标准下的最优路由设计。NOM作为一种性能评估工具，针对给定的网络拓扑结构、链路和节点容量、点对点需求矩阵和路由策略，对路由进行建模并计算网络性能的重要特征。NOM是一种路由优化工具，针对给定的网络拓扑结构、链路和节点容量、点对点需求矩阵和性能标准，生成最优路由，并计算网络性能的重要特征。将现有的Telenet本地动态路由策略与针对不同性能标准设计的一组最优路由策略进行了比较。

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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IEEE INFOCOM '88,Seventh Annual Joint Conference of the IEEE Computer and Communcations Societies. Networks: Evolution or Revolution?

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