CherryPick: tracing packet trajectory in software-defined datacenter networks

Praveen Tammana, R. Agarwal, Myungjin Lee
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引用次数: 66

Abstract

SDN-enabled datacenter network management and debugging can benefit by the ability to trace packet trajectories. For example, such a functionality allows measuring traffic matrix, detecting traffic anomalies, localizing network faults, etc. Existing techniques for tracing packet trajectories require either large data collection overhead or large amount of data plane resources such as switch flow rules and packet header space. We present CherryPick, a scalable, yet simple technique for tracing packet trajectories. The core idea of our technique is to cherry-pick the links that are key to representing an end-to-end path of a packet, and to embed them into its header on its way to destination. Preliminary evaluation on a fat-tree topology shows that CherryPick requires minimal switch flow rules, while using header space close to state-of-the-art techniques.
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CherryPick:在软件定义的数据中心网络中跟踪数据包轨迹
支持sdn的数据中心网络管理和调试可以从跟踪数据包轨迹的能力中获益。例如,这样的功能允许测量流量矩阵、检测流量异常、定位网络故障等。现有的跟踪数据包轨迹的技术要么需要大量的数据收集开销,要么需要大量的数据平面资源,如交换流规则和数据包报头空间。我们提出了CherryPick,一个可扩展的,但简单的技术,用于跟踪数据包轨迹。我们技术的核心思想是挑选对表示包的端到端路径至关重要的链接,并在其到达目的地的途中将它们嵌入到其报头中。对胖树拓扑的初步评估表明,CherryPick需要最小的交换流规则,同时使用接近最先进技术的标题空间。
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VT-Mininet: Virtual-time-enabled Mininet for Scalable and Accurate Software-Define Network Emulation mSwitch: a highly-scalable, modular software switch CherryPick: tracing packet trajectory in software-defined datacenter networks Scalable programmable inbound traffic engineering The case for an intermediate representation for programmable data planes
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