How to extract maximum information from event-driven topology updates

V. Rutenburg, R. Ogier
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引用次数: 1

Abstract

Link-state updating in communication networks undergoing topological changes is addressed. It is concluded that the best way of disseminating link-state information is through event-driven (ED) updating, and it is shown how to overcome the traditional drawbacks of ED updating. An efficient algorithm that extracts the maximum implicit information from ED topology updates by computing the latest time for which each processing node can be certain of the state of each network link is given. It is shown that the information obtained is equivalent to that obtained by continuous flooding of link-state information. A method that allows each node to refresh the above information continuously without running the algorithm more than once for each received update is presented, as is an approximate version of the algorithm that reduces communication overhead by limiting the radii of propagation.<>
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如何从事件驱动的拓扑更新中提取最大的信息
讨论了通信网络拓扑变化中的链路状态更新问题。最后提出了事件驱动更新是传播链路状态信息的最佳方式,并指出了如何克服事件驱动更新的传统缺点。通过计算各处理节点确定各网络链路状态的最晚时间,给出了一种从ED拓扑更新中提取最大隐式信息的有效算法。结果表明,所获得的信息与连续泛洪所获得的信息是等价的。本文提出了一种方法,该方法允许每个节点连续刷新上述信息,而无需为每次接收到的更新多次运行算法,这是该算法的一个近似版本,通过限制传播半径来减少通信开销。
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