Sliding Mode Congestion Control for Data Center Ethernet Networks

Sliding Mode Congestion Control for Data Center Ethernet Networks
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DOI:
10.1109/tc.2014.2366733
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发表时间:
2015-09
影响因子:
3.7
通讯作者:
Wanchun Jiang;Fengyuan Ren;Ran Shu;Yongwei Wu;Chuang Lin
Wanchun Jiang;Fengyuan Ren;Ran Shu;Yongwei Wu;Chuang Lin
中科院分区:
计算机科学2区
文献类型:
--
作者:
Wanchun Jiang;Fengyuan Ren;Ran Shu;Yongwei Wu;Chuang Lin

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近年来,以太网作为数据中心的统一交换结构被增强,称为数据中心以太网。端到端拥塞管理是其中一个不可或缺的增强功能,目前量化拥塞通知(QCN)已被批准为相应的标准。然而,我们的实验表明,QCN遭受大的振荡的队列长度在瓶颈链路,使缓冲区被清空频繁,相应的链路利用率下降,与某些系统参数和网络配置。这一现象与我们的理论分析结果相对应,即在一定的系统参数和网络结构下,QCN不能进入滑模运动模式。针对QCN的不足,利用SMM模式下拥塞管理系统对参数和网络结构变化不敏感的优点,提出了在任何情况下都能进入SMM模式的滑模拥塞控制(SMCC)。SMCC简单、稳定、公平、响应时间短,并且可以很容易地用来取代QCN,因为它们都遵循IEEE 802.1Qau工作组开发的框架。在NetFPGA平台上的实验表明,SMCC在业务模式和网络状态变化时,性能优于QCN,具有上级性能。
Recently, Ethernet is enhanced as the unified switch fabric of data centers, called data center Ethernet. One of the indispensable enhancements is end-to-end congestion management, and currently quantized congestion notification (QCN) has been ratified as the corresponding standard. However, our experiments show that QCN suffers from large oscillations of the queue length at the bottleneck link such that the buffer is emptied frequently and accordingly the link utilization degrades, with certain system parameters and network configurations. This phenomenon is corresponding to our theoretical analysis result that QCN fails to enter into the sliding mode motion (SMM) pattern with certain system parameters and network configurations. Knowing the drawbacks of QCN and realizing the advantage that congestion management system is insensitive to the changes of parameters and network configurations in the SMM pattern, we present sliding mode congestion control (SMCC), which can enter into the SMM pattern under any conditions. SMCC is simple, stable, fair, has short response time, and can be easily used to replace QCN because both of them follow the framework developed by the IEEE 802.1Qau work group. Experiments on the NetFPGA platform show that SMCC is superior to QCN, especially when traffic pattern and network states are variable.