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Pricing Tree Access Networks with Connected Backbones

机译:定价树接入网络与连接的骨干网

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Consider the following network subscription pricing problem. We are given a graph G = (V, E) with a root r, and potential customers are companies headquartered at r with locations at a subset of nodes. Every customer requires a network connecting its locations to r. The network provider can build this network with a combination of backbone edges (consisting of high capacity cables) that can route any subset of the customers, and access edges that can route only a single customer's traffic. The backbone edges cost M times that of the access edges. Our goal is to devise a group-strategyproof pricing mechanism for the network provider, i.e., one in which truth-telling is the optimal strategy for the customers, even in the presence of coalitions. We give a pricing mechanism that is 2-competitive and O(1)-budget-balanced. As a means to obtaining this pricing mechanism, we present the first primaldual 8-approximation algorithm for this problem. Since the two-stage Stochastic Steiner tree problem can be reduced to the underlying network design, we get a primal-dual algorithm for the stochastic problem as well. Finally, as a byproduct of our techniques, we also provide bounds on the inefficiency of our mechanism.
机译:考虑以下网络订阅定价问题。我们给出了具有根R的G =(v,e)图,潜在客户是在节点子集的位置总部r的公司。每个客户都需要将其位置连接到r的网络。网络提供商可以用骨干边缘(由高容量电缆组成)的组合来构建该网络,可以路由客户的任何子集,以及可以仅路由单个客户流量的访问边。骨干边缘成本为Access边缘的次数。我们的目标是制定网络提供商的团体战略原理机制,即,陈述是顾客的最佳策略,即使在联盟的情况下也是如此。我们给出了2个竞争力的定价机制,o(1)-Budget平衡。作为获得该定价机制的方法,我们介绍了这个问题的第一个报警8近似算法。由于两阶段随机施泰钢铁树问题可以减少到底层网络设计,因此我们也得到了一个用于随机问题的原始算法。最后,作为我们技术的副产品,我们还提供了我们机制效率低下的界限。

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