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Inter-Datacenter Scheduling of Large Data Flows

机译:大型数据流的数据中心间调度

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Inter-datacenter transfers of non-interactive but timely large flows over a private (managed) network is an important problem faced by many cloud service providers. The considered flows are non-interactive because they do not explicitly target the end users. However, most of them must be performed on a timely basis and are associated with a deadline. We propose to schedule these flows by a centralized controller, which determines when to transmit each flow and which path to use. Two scheduling models are presented in this paper. In the first, the controller also determines the rate of each flow, while in the second bandwidth is assigned by the network according to the TCP rules. We develop scheduling algorithms for both models and compare their complexity and performance.
机译:通过私有(托管)网络进行非交互式但及时的大流量的数据中心间传输是许多云服务提供商所面临的重要问题。所考虑的流是非交互的,因为它们没有明确地针对最终用户。但是,其中大多数必须及时执行,并与截止日期相关联。我们建议由中央控制器调度这些流,该控制器确定何时传输每个流以及使用哪个路径。本文提出了两种调度模型。在第一个中,控制器还确定每个流的速率,而在第二个中,带宽由网络根据TCP规则分配。我们为这两种模型开发调度算法,并比较它们的复杂性和性能。

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