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The online disjoint set cover problem and its applications

机译:在线不相交集覆盖问题及其应用

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Given a universe U of n elements and a collection of subsets S of U, the maximum disjoint set cover problem (DSCP) is to partition S into as many set covers as possible, where a set cover is defined as a collection of subsets whose union is U. We consider the online DSCP, in which the subsets arrive one by one (possibly in an order chosen by an adversary), and must be irrevocably assigned to some partition on arrival with the objective of minimizing the competitive ratio. The competitive ratio of an online DSCP algorithm A is defined as the maximum ratio of the number of disjoint set covers obtained by the optimal offline algorithm to the number of disjoint set covers obtained by A across all inputs. We propose an online algorithm for solving the DSCP with competitive ratio ln n. We then show a lower bound of Ω(√ln n) on the competitive ratio for any online DSCP algorithm. The online disjoint set cover problem has wide ranging applications in practice, including the online crowd-sourcing problem, the online coverage lifetime maximization problem in WSNs, and in online resource allocation problems.
机译:给定n个元素的宇宙U和U的子集S的集合,最大不相交集覆盖问题(DSCP)是将S划分为尽可能多的集覆盖,其中集合覆盖定义为其并集的子集的集合是U。我们考虑在线DSCP,其中子集一个接一个地到达(可能按对手选择的顺序),并且在到达时必须将其不可撤消地分配给某个分区,以最小化竞争比率。在线DSCP算法A的竞争比定义为在所有输入中通过最佳离线算法获得的不相交集覆盖数与A所获得的不相交集覆盖数的最大比率。我们提出了一种在线算法来求解竞争比为ln n的DSCP。然后,对于任何在线DSCP算法,我们都显示了竞争比的Ω(√lnn)的下限。在线不相交集覆盖问题在实践中具有广泛的应用,包括在线众包问题,WSN中的在线覆盖寿命最大化问题以及在线资源分配问题。

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