基于控制器反馈的通用P4转发设备性能分析

Nicolai Kröger, Fidan Mehmeti, Hasanin Harkous, W. Kellerer
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引用次数: 1

摘要

软件定义网络(SDN)为未来网络应用的运行奠定了基础。控制平面与可编程数据平面的分离增加了网络运行的灵活性。在数据平面上描述包行为最常用的语言之一是P4。它允许独立于协议和硬件的编程。随着P4可编程设备的扩展部署,为了设计网络并提供服务质量(QoS)保证,了解它们的性能行为和限制是至关重要的。最重要的性能指标之一是数据包在P4设备中的平均停留时间。虽然以前的工作已经用控制器反馈对P4设备中的逗留时间进行了建模,但这些模型过于简化,无法捕获一般情况下的系统行为,从而导致潜在的高度不准确的性能预测。为了弥补这一差距,在本文中,我们考虑了P4器件在一般情况下的系统行为,即在一般假设下。为此,我们建立了一个带有反馈的排队网络的行为模型。由于不可能提供封闭形式的解,我们考虑了平均停留时间的不同近似值。我们通过广泛的现实模拟来验证我们的结果,捕获数据和控制平面中的不同行为。结果表明,在几乎所有情况下,最准确的近似是将队列解耦并认为是独立的,尽管存在依赖关系。对于变异系数不大于1的服务时间分布,最坏情况下的差异水平不超过18.2%。
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Performance Analysis of General P4 Forwarding Devices with Controller Feedback
Software-Defined Networking (SDN) lays the foundation for the operation of future networking applications. The separation of the control plane from the programmable data plane increases the flexibility in network operation. One of the most used languages for describing the packet behavior in the data plane is P4. It allows protocol and hardware independent programming. With the expanding deployment of P4 programmable devices, it is of utmost importance to understand their performance behavior and limitations in order to design a network and provide Quality of Service (QoS) guarantees. One of the most important performance metrics is the packet mean sojourn time in a P4 device. While previous works already modeled the sojourn time in P4 devices with controller feedback, those models were rather simplified and could not capture the system behavior for general cases, resulting in a potential highly inaccurate performance prediction. To bridge this gap, in this paper, we consider the system behavior of P4 devices for the general case, i.e., under general assumptions. To that end, we model the behavior with a queueing network with feedback. As it is impossible to provide closed-form solutions, we consider different approximations for the mean sojourn time. We validate our results against extensive realistic simulations, capturing different behaviors in the data and control planes. Results show that the most accurate approximation in almost all cases is the one in which the queues are decoupled and considered as independent despite the fact that there are dependencies. The level of discrepancy in the worst case does not exceed 18.2% for service times distributions with a coefficient of variation not greater than 1.
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