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Toward online profit-driven scheduling of inter-DC data-transfers for cloud applications

机译:实现在线获利驱动的云应用程序DC间数据传输的日程安排

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For an inter-datacenter (inter-DC) network that carries multiple cloud applications, tasks may arise in the DCs and need to transfer data to others with different latency requirements. Therefore, it is desired that a highly efficient online scheduling algorithm could be developed to consider the request admission, routing selection and bandwidth allocation for the data-transfers jointly. In this work, we investigate this problem, and propose an online scheduling algorithm, namely, GlobeAny, to maximize the time-average profit from provisioning the requests. The proposed algorithm leverages Lyapunov optimization techniques and can achieve arbitrarily approaching to the optimal value within O(1/V) gap. We also show that by adjusting the application weights, it can provide differentiated services to requests with different latency requirements.
机译:对于承载多个云应用程序的数据中心间(DC间)网络,DC中可能会出现任务,并且需要将数据传输给具有不同延迟要求的其他人。因此,期望可以开发出一种高效的在线调度算法来共同考虑请求接纳,路由选择和带宽分配以进行数据传输。在这项工作中,我们将研究此问题,并提出一种在线调度算法,即GlobeAny,以最大程度地从提供请求中获得平均时间收益。所提出的算法利用了Lyapunov优化技术,可以在O(1 / V)间隙内任意接近最佳值。我们还表明,通过调整应用程序权重,它可以为具有不同延迟要求的请求提供差异化​​服务。

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