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Inter-Datacenter Scheduling of Large Data Flows

机译:大数据流的间数据中心调度

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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:DATEACTER非交互式但及时大流量超过私有(管理)网络是许多云服务提供商面临的重要问题。被认为的流量是非互动的,因为它们没有明确地定位最终用户。但是,其中大多数必须及时进行,并与截止日期相关联。我们建议通过集中式控制器安排这些流程,该控制器确定何时传输每个流程以及要使用的路径。本文提出了两个调度模型。在第一,控制器还确定每个流的速率,而在第二带宽中由网络分配根据TCP规则。我们为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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