Network reliability enhancement by a self-healing algorithm

A. Greca, K. Nakagawa
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Abstract

The steady increase in the volume of data transmitted over ATM networks suggest that even a single link failure will seriously impact many service users. Thus, it is very important to develop restoration mechanisms that minimize the impact on the affected services. Self-healing algorithm can be used to automatically restore failed VPs (virtual paths) in backbone ATM networks. In this environment, a major research challenge is to understand the fundamental tradeoff between the capacity of the failed links and importance of the last calls with the reliability level of VPs, and to create a self-healing algorithm for VP capacity allocation that achieves an optimal network operating point. This paper focuses on evaluating the efficiency of the self-healing algorithm, C-TRUS, under the multi-failure scenario for different network topologies and loads and, compares its behavior to that of the combination method. The simulation results show that our approach can build survivable networks with improved reliability that meet different service class requirements.
一种自愈算法增强网络可靠性
ATM网络上数据传输量的稳步增长表明,即使是单个链路故障也会严重影响许多业务用户。因此,开发对受影响服务的影响最小化的恢复机制是非常重要的。自愈算法可以自动恢复ATM骨干网络中出现故障的虚拟路径。在这种环境下,一个主要的研究挑战是理解失效链路的容量和最后一次呼叫的重要性之间的基本权衡与副总裁的可靠性水平,并创建一个自修复算法的副总裁容量分配,以实现最优的网络工作点。本文重点评估了C-TRUS自愈算法在不同网络拓扑和负载的多故障场景下的效率,并将其行为与组合方法进行了比较。仿真结果表明,该方法可以构建可靠性更高的可生存网络,满足不同服务类别的要求。
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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