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Throughput-delay analysis of interrupt-driven kernels with DMA enabled and disabled in high-speed networks

机译:高速网络中启用和禁用DMA的中断驱动内核的吞吐量延迟分析

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摘要

Interrupt processing can be a major bottleneck in the end-to-end performance of high-speed networks. The performance of Gigabit network end hosts or servers can be severely degraded due to interrupt overhead caused by heavy incoming traffic. Under heavy network traffic, the system performance will be negatively affected due to interrupt overhead caused by the incoming traffic. In particular, excessive latency and significant degradation in system throughput can be experienced. In this paper, we present a throughput-delay analysis of such behavior. We develop analytical models based on queueing theory and Markov processes. In our analysis, we consider and model three systems: ideal, PIO, and DMA. In ideal system, the interrupt overhead is ignored. In PIO, DMA is disabled and copying of incoming packets is performed by the CPU. In DMA, copying of incoming packet is performed by DMA engines. For high-speed network hosts, both PIO and DMA can be desirable configuration options. The analysis yields insight into understanding and predicting the impact of system and network choices on the performance of interrupt-driven systems when subjected to light and heavy network loads. Simulations and reported experimental results show that our analytical models are valid and give a good approximation.
机译:中断处理可能是高速网络端到端性能的主要瓶颈。千兆位网络终端主机或服务器的性能可能会由于大量传入通信量引起的中断开销而严重降低。在繁忙的网络流量下,由于传入流量导致的中断开销会严重影响系统性能。特别是,可能会出现过多的等待时间和系统吞吐量的显着降低。在本文中,我们提出了这种行为的吞吐量延迟分析。我们基于排队论和马尔可夫过程开发分析模型。在我们的分析中,我们考虑并建模了三个系统:理想,PIO和DMA。在理想的系统中,中断开销被忽略。在PIO中,DMA被禁用,输入数据包的复制由CPU执行。在DMA中,传入数据包的复制由DMA引擎执行。对于高速网络主机,PIO和DMA都是理想的配置选项。通过分析,可以了解和预测系统和网络选择在受到轻负载和重负载的情况下对中断驱动系统性能的影响。仿真和报告的实验结果表明,我们的分析模型是有效的,并且具有良好的近似性。

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