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Pricing Tree Access Networks with Connected Backbones

机译:具有连接主链的定价树接入网

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摘要

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 primal-dual 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:请考虑以下网络订阅定价问题。我们得到了图G =(V,E),其根为r,而潜在的客户是总部位于r且位于节点子集的公司。每个客户都需要一个将其位置连接到r的网络。网络提供商可以使用可以路由任何客户子集的骨干网边缘(由高容量电缆组成)和仅可以路由单个客户业务的接入边缘的组合来构建此网络。骨干边缘的成本是访问边缘的M倍。我们的目标是为网络提供商设计一种能够防止集团战略的定价机制,即,即使在存在联盟的情况下,讲真话也是客户的最佳策略。我们给出了一种具有2竞争和O(1)预算平衡的定价机制。作为获取此定价机制的一种方法,我们针对此问题提出了第一个原始对偶8近似算法。由于可以将两阶段随机Steiner树问题简化为基础网络设计,因此,我们也获得了针对随机问题的原始对偶算法。最后,作为我们技术的副产品,我们还为机制效率低下提供了界限。

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