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Game Theoretic Modeling of Interaction Problems in Datacenter Network Environments

机译:数据中心网络环境下互动问题的博弈论建模

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Cloud services have been widely deployed on Iarge-scale datacenters by Cloud Service Providers (CSPs) to provide users with better performance and reliability. However, interactions between datacenter selection and multiple traffic engineering (TE) of many physical networks operated by Internet Service Providers (ISPs) may occur, which may lead to performance loss. In this paper, we propose a cooperative approach based on Nash's bargaining solution (NBS) for CSP and ISPs to improve their performance, which considers both Pareto optimality and fairness. Then, in order to facilitate the actual deployment, we also design a decomposition algorithm to calculate the NBS. Simulations are performed to verify our analysis on different network environments.
机译:云服务提供商(CSP)已将云服务广泛部署在大型数据中心上,以为用户提供更好的性能和可靠性。但是,可能会发生数据中心选择与Internet服务提供商(ISP)运营的许多物理网络的多个流量工程(TE)之间的交互,这可能会导致性能损失。在本文中,我们提出了一种基于纳什议价解决方案(NBS)的CSP和ISP合作方案,以提高其性能,同时考虑了Pareto最优性和公平性。然后,为了便于实际部署,我们还设计了一种分解算法来计算NBS。执行仿真以验证我们在不同网络环境下的分析。

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