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Online Priority Steiner Tree Problems

机译:在线优先态度施泰纳问题

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A central issue in the design of modern communication net-works is the provision of Quality-of-Service (QoS) guarantees at the presence of heterogeneous users. For instance, in QoS multicasting, a source needs to efficiently transmit a message to a set of receivers, each requiring support at a different QoS level (e.g., bandwidth). This can be formulated as the Priority Steiner tree problem: Here, each link of the underlying network is associated with a priority value (namely the QoS level it can support) as well as a cost value. The objective is to find a tree of minimum cost that spans all receivers and the source, such that the path from the source to any given receiver can support the QoS level requested by the said receiver. The problem has been studied from the point of view of approximation algorithms. In this paper we introduce and address the on-line variant of the problem, which models the situation in which receivers join the multicast group dynamically. Our main technical result is a tight bound on the competitive ratio of Θ(min{blog k/b, k}) (when k>b), and Θ(k) (when k≤b), where b is the total number of different priority values and k is the total number of receivers. The bound holds for undirected graphs, and for both deterministic and randomized algorithms. For the latter class, the techniques of Alon et al. [Trans, on Algorithms 2005] yield a O(log k log m)-competitive randomized algorithm, where m is the number of edges in the graph. Last, we study the competitiveness of online algorithms assuming directed graphs; in particular, we consider directed graphs of bounded edge-cost asymmetry.
机译:现代通信网络设计中的一个核心问题是在异构用户存在下提供服务质量(QoS)保证。例如,在QoS多播中,源需要有效地将消息传输到一组接收器,每个接收器,每个电源都需要以不同的QoS级别(例如,带宽)支持。这可以作为优先级施泰纳的问题配制:这里,底层网络的每个链路与优先级值相关联(即它可以支持的QoS级别)以及成本值。目的是找到跨越所有接收器和源的最小成本的树,使得来自源给任何给定接收器的路径可以支持所述接收器请求的QoS级别。从近似算法的角度研究了问题。在本文中,我们介绍并解决了问题的在线变体,其模型动态接收器的情况。我们的主要技术结果是θ的竞争比例紧密突出θ(min {blog k / b,k})(当k> b时),θ(k)(当k≤b时),其中b是总数不同的优先级值和k是接收器的总数。绑定保持无向图形,以及用于确定性和随机算法。对于后一级,Alon等人的技术。 [Trans,ON算法2005]产生O(log k log m) - 竞争性随机算法,其中m是图中的边的数量。最后,我们研究了在线算法的竞争力假设指向图形;特别是,我们考虑有界边缘成本不对称的指示图。

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