基于蚁群优化的光分组交换网络流量工程与恢复

G. S. Pavani, H. Waldman
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引用次数: 24

摘要

在本文中,我们提出了一种基于aco的算法,该算法可以自适应平衡网络负载以减轻拥塞,从而减少OPS网络中的数据包丢失。此外,该算法具有容错性,甚至在检测和定位故障事件之前就开始从故障链路或节点恢复。由于路由和恢复都依赖于蚁类代理的信息素水平,任何故障都会被一些蚂蚁迅速感知,它们会试图绕过网络的受影响部分,从而使路由适应新的拓扑结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traffic Engineering and Restoration in Optical Packet Switching Networks by means of Ant Colony Optimization
In this paper, we propose an ACO-based algorithm that can adaptively balance the network load to mitigate congestion, and hence reduce the overall loss of packets in an OPS network. In addition, the proposed algorithm is fault-tolerant, with the recovery from a failed link or node starting even before detection and localization of the failure event. Since both routing and restoration rely on pheromone levels laid by ant-like agents, any failure will be promptly perceived by some ants, which will then try to circumvent the affected part of the network, thus adapting the routing to the new topology.
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