Data center has become an important facility for hosting various applications. For data center networks, deadline missing rate and average flow completion time are two main metrics for the performance of applications. In this paper, we find deadline-aware methods can only reduce the percentage of flows missing deadline, while flowsize-aware and information-cumulative methods can only optimize the average flow completion time. However, traffic in data center is the mixture of various flows and focusing on the single goal is not enough. We advocate to incorporate deadline and flow duration time into flow rate control. Then we design DA&FD (Deadline-Aware and Flow Duration) based rate control mechanism and analyze its performance in theory. At last, we evaluate DA&FD under different topologies, real world traffic and load scenarios, both by simulation and in real testbed. Our results show that DA&FD performs close to D ² TCP and about 15%, 25%, 30%, 35% better than Ameon, L ² DCT, Karuna, DCTCP on deadline missing rate. For average FCT, the performance of DA&FD is similar to L ² DCT and compared with Ameon, D ² TCP, Karuna, DCTCP, DA&FD can reduce average FCT by 10%, 15%, 20%, 25%.

中文翻译：

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DA＆FD – DCN中混合流的基于截止时间和流持续时间的速率控制

数据中心已成为承载各种应用程序的重要设施。对于数据中心网络，截止期限丢失率和平均流完成时间是应用程序性能的两个主要指标。在本文中，我们发现感知截止时间的方法只能减少缺少截止时间的流的百分比，而感知流大小的方法和信息累积方法只能优化平均流完成时间。但是，数据中心的流量是各种流的混合，仅关注单个目标是不够的。我们主张将截止日期和流程持续时间纳入流量控制中。然后我们设计了基于DA＆FD（期限感知和流量持续时间）的速率控制机制，并从理论上分析了其性能。最后，我们在不同的拓扑，实际流量和负载情况下评估DA＆FD，无论是通过仿真还是在实际测试台上进行。我们的结果表明DA＆FD的表现接近D ² TCP的 截止日期丢失率比Ameon，L ² DCT，Karuna和DCTCP好15％，25％，30％，35％ 。对于平均FCT，DA＆FD的性能类似于L ² DCT，与Ameon相比，D ² TCP，Karuna，DCTCP，DA＆FD可以将平均FCT降低10％，15％，20％，25％。