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A Preemptive Algorithm for Maximizing Disjoint Paths on Trees

机译:一种最大化树上不相交路径的抢占算法

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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:当基础网络是一棵树时,我们考虑最大顶点不相交路径问题的在线版本。在此问题中,一系列请求以联机方式到达,其中每个请求都是树中的路径。在线算法只有在不与先前接受的请求共享顶点的情况下才可以接受请求。目标是最大程度地接受请求。众所周知,即使该算法是随机的并且树只是一条直线,对于该问题,没有任何在线算法具有比Ω(log n)更好的竞争比。显然,希望突破对数下限。 Adler和Azar [SODA 1999]指出,如果允许抢占(即,先前接受的请求可能会被丢弃,但是一旦请求被丢弃,它就不能再被接受),那么就有一种在线随机算法可以在线。在当前的工作中,我们提出了一种具有优先权的随机在线算法,该算法在任何树上都具有恒定的竞争比。我们的结果继续涉及最大化受顶点容量限制的可接受路径数的相关问题(在不相交路径问题中,此容量为1)。此外,如果可用容量至少为4,则不需要随机化,并且我们的在线算法变得确定性。

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