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On primal-dual cost allocation schema in multicast communication: Combinatorial game theory model

机译:组播通信中的原对偶成本分配方案:组合博弈模型

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We analyze the cost allocation strategy associated with the problem of sending information from some source to a number of communication network users. A multicast routing chooses a minimum cost network that spans the source and all the receivers. The cost of such a network is distributed among its receivers who may be individuals or organizations with possibly conflicting interests. These receivers are likely to cooperate if they are charged the ‘fair share’ of the cost. Providing network developers, users and owners with computable ‘fair’ cost allocation solution procedures is of great importance for network management. We overview some previously published, as well as some new results, in the development of algorithmic cooperative game theory based mechanisms to efficiently compute ‘attractive’ cost allocation solutions for multicast networks. We also present some open cost allocation problems and the potential contribution that combinatorial game theory models might make in the future.
机译:我们分析了与从某些来源向许多通信网络用户发送信息的问题相关的成本分配策略。多播路由选择覆盖源和所有接收者的最低成本的网络。这种网络的成本在其接收者之间分配,接收者可能是利益冲突的个人或组织。如果向这些接收者收取费用的“公平份额”,他们可能会合作。为网络开发人员,用户和所有者提供可计算的“公平”成本分配解决方案程序对于网络管理至关重要。我们概述了以前基于算法的合作博弈机制开发的一些新成果,以及一些新成果,这些机制可以有效地为组播网络计算“有吸引力的”成本分配解决方案。我们还提出了一些开放成本分配问题,以及组合博弈模型将来可能做出的潜在贡献。

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