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Reorder buffer-occupancy density and its application for measurement and evaluation of packet reordering

机译:重排序缓冲区占用密度及其在数据包重排序的测量和评估中的应用

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摘要

Increasing internal parallelism within nodes due to increase in links speeds, and external parallelism among the links due to QoS, ad hoc routing in wireless, etc., point to a significant increase in packet reordering. Application performance also degrades considerably due to out-of-order arrivals. The concept of "Reorder Buffer-occupancy Density" (RBD) is defined, which provides the statistics of occupancy of a buffer used to recover from reordering. RBD also captures and measures reordering effectively, helps relate causes of reordering to observations, and allows the development of models for packet reordering. A formal representation and analysis of reordering is presented along with the derivation of RBD models for basic reordering patterns, such as independent, overlapping and embedded reordering. Measurements associate most of the packet reordering occurrences in the Internet to such patterns. The RBD models for these patterns are used to build a buffer-occupancy model with a scenario associated with traffic splitting or bandwidth aggregation as an example. Such models can aid in determining the resource requirements for mitigating effects due to reordering, as well as performance characteristics of underlying network. Developed models are verified using measurements on emulated networks.
机译:由于链路速度的提高,节点内部内部并行性的增加,以及由于QoS,无线中的自组织路由等原因,链路之间的外部并行性,表明数据包的重新排序显着增加。由于无序到达,应用程序性能也会大大降低。定义了“重新排序缓冲区占用密度”(RBD)的概念,该概念提供了用于从重新排序中恢复的缓冲区的占用统计信息。 RBD还可以有效地捕获和测量重新排序,帮助将重新排序的原因与观察结果联系起来,并允许开发数据包重新排序的模型。提出了重新排序的形式表示和分析,以及用于基本重新排序模式的RBD模型的推导,例如独立,重叠和嵌入式重新排序。测量将Internet中大多数数据包重新排序事件与此类模式相关联。这些模式的RBD模型用于构建缓冲区占用模型,并以与流量拆分或带宽聚合相关的方案为例。这样的模型可以帮助确定缓解因重新排序而产生的影响的资源需求,以及基础网络的性能特征。使用仿真网络上的测量结果验证开发的模型。

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