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Phase Plane Analysis of Congestion Control in Data Center Ethernet Networks

机译:数据中心以太网网络中拥塞控制的相平面分析

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Ethernet has some attractive properties for network consolidation in the data center, but needs further enhancement to satisfy the additional requirements of unified network fabrics. Congestion management is introduced in Ethernet networks to avoid dropping packets due to congestion. The BCN (Backward Congestion Notification) mechanism is a basic element of several standard drafts, and its stability underlies normal network operations. Because the linear stability analysis method is incapable of handling the nonlinearity of the variable structure control employed by the BCN mechanism, some particular phenomena are unexposed and the insights are insufficient. In this paper, we propose the concept of strong stability of the queuing system to satisfy the requirements of no dropped packets in the data center, and build a fluid-flow analytical model for the BCN congestion control system. Considering the nonlinearity involved in the rate regulation laws, we classify the system into different categories according to the shapes of phase trajectories, and conduct a nonlinear stability analysis using phase plane analysis techniques on a case by case basis. The analysis details can provide a comprehensive understanding about the behaviors of the overall congestion control system. Finally, we also deduce an explicit stability criterion presenting the parameters constraints for the strongly stable BCN system, which can provide straightforward guidelines for proper parameter settings.
机译:以太网具有一些吸引人的特性,可用于数据中心中的网络整合,但需要进一步增强以满足统一网络结构的其他要求。以太网中引入了拥塞管理,以避免由于拥塞而丢弃数据包。 BCN(后向拥塞通知)机制是一些标准草案的基本元素,其稳定性是正常网络操作的基础。由于线性稳定性分析方法无法处理BCN机制所采用的可变结构控制的非线性,因此某些特殊现象没有暴露,并且洞察力不足。本文提出了排队系统的强稳定性概念,以满足数据中心不丢包的要求,并为BCN拥塞控制系统建立了一种流体流分析模型。考虑到速率调节律所涉及的非线性,我们根据相轨迹的形状将系统分为不同类别,并根据具体情况使用相平面分析技术进行非线性稳定性分析。分析细节可以提供有关整个拥塞控制系统行为的全面理解。最后,我们还推导了一个明确的稳定性准则,该准则为强稳定的BCN系统提供了参数约束,可以为正确的参数设置提供直接的指导。

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