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A Preemptive Algorithm for Maximizing Disjoint Paths on Trees

机译:用于最大化树木上不相交路径的抢先算法

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We consider the online version of the maximum vertex disjoint path problem when the underlying network is a tree. In this problem, a sequence of requests arrives in an online fashion, where every request is a path in the tree. The online algorithm may accept a request only if it does not share a vertex with a previously accepted request. The goal is to maximize the number of accepted requests. It is known that no online algorithm can have a competitive ratio better than Ω(log n) for this problem, even if the algorithm is randomized and the tree is simply a line. Obviously, it is desirable to beat the logarithmic lower bound. Adler and Azar [SODA 1999] showed that if preemption is allowed (namely, previously accepted requests may be discarded, but once a request is discarded it can no longer be accepted), then there is a randomized online algorithm that achieves constant competitive ratio on the line. In the current work we present a randomized online algorithm with preemption that has constant competitive ratio on any tree. Our results carry over to the related problem of maximizing the number of accepted paths subject to a capacity constraint on vertices (in the disjoint path problem this capacity is 1). Moreover, if the available capacity is at least 4, randomization is not needed and our online algorithm becomes deterministic.
机译:当底层网络是树时,我们考虑在线版本的最大顶点不相交路径问题。在这个问题中,一系列请求以在线方式到达,每个请求都是树中的路径。在线算法才能接受请求,仅当它不与先前接受的请求共享顶点。目标是最大限度地提高可接受的请求的数量。众所周知,即使算法随机化,树简单地是一行,也没有比ω(log n)更好地具有比ω(log n)更好的竞争比率。显然,希望击败对数下限。 Adler和Azar [Soda 1999]显示,如果允许抢占(即,可能丢弃先前接受的请求,但一旦丢弃请求,就不再被接受),则存在一个随机的在线算法,实现恒定的竞争比率线。在当前工作中,我们呈现了一种随机的在线算法,其抢占具有恒定的竞争比例。我们的结果涉及最大化对顶点的容量约束的接受路径数量的相关问题(在不相交的路径问题中,此容量为1)。此外,如果可用容量至少为4,则不需要随机化,我们的在线算法变为确定性。

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