不可靠网络中最小最坏情况期望延迟的鲁棒路由

R. Ogier, V. Rutenburg
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引用次数: 1

摘要

作者考虑的问题是,在一个不可靠的网络中,给定每个节点在任何时间点都可能无法运行的出站链路的数量约束,找到一个路由策略,使从每个源到单个目的地的最坏情况预期延迟最小化。在此约束下,链接可以任意频繁地失败和恢复。要转发数据包的节点必须选择一条链路来传输数据包,但不能提前知道在传输过程中哪些链路将无法运行。如果传输失败,则在一段固定的时间后重新传输数据包(不一定在同一链路上)。结果表明,最优路由策略是每个节点按照固定的概率分布选择转发链路的平稳随机化策略。本文给出了一种有效的算法,可以在O(mod E mod log(mod V mod / epsilon))时间内计算出任意正数epsilon的最优解
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust routing for minimum worst-case expected delay in unreliable networks
The authors consider the problem of finding a routing strategy that minimizes the worst-case expected delay from every source to a single destination in an unreliable network, given a constraint on the number of outgoing links at each node that can be inoperational at any point in time. Subject to this constraint, links can fail and recover arbitrarily often. A node having a packet to forward must choose a single link on which to transmit the packet, but does not know in advance which links will be inoperational during the transmission. If a transmission fails, the packet is retransmitted (not necessarily on the same link) after some fixed amount of time. It is shown that the optimal routing strategy is a stationary randomized strategy in which each node selects the forwarding link according to a fixed probability distribution. An efficient algorithm that computes an epsilon -optimal solution in O( mod E mod log( mod V mod / epsilon )) time, for any positive number epsilon , is presented.<>
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