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The Network Performance Analysis Platform and Its Application to Network Buffer Evaluation of the Embedded System

机译:网络性能分析平台及其在嵌入式系统网络缓冲区评估中的应用

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In this work, a network simulator is developed to predict the amount of hardware resources required for an embedded large-scale data processing system. It is difficult to simulate with the existing hardware simulator because the calculation time of processors lasts several days. This large time-consumption is caused by the fact that the processor module is made up of many components like CPU cores and shared buses. The target of this work is to complete the transmission simulation with one million packets in six hours. To reduce the analysis time, we focused on the shared bus of the processor and found that it is possible to estimate the amount of network buffer usage in a congestion state of packets in the shared bus. We have developed a shared bus timing model for calculating the packet transmission capacity by using the parameters related to the CPU core bus access time of the processor. Thereby, its simulation throughput can be increased up to 13 thousand packets per minute. The simulation results show that one million packets could be completed in two and a half hours by using the proposed techniques and confirmed that the proposed simulator can be used to optimize a large-scale data processing system.
机译:在这项工作中,开发了网络模拟器来预测嵌入式大型数据处理系统所需的硬件资源量。使用现有的硬件模拟器很难进行模拟,因为处理器的计算时间会持续数天。由于处理器模块由许多组件组成,例如CPU内核和共享总线,因此造成了很大的时间消耗。这项工作的目标是在六个小时内完成一百万个数据包的传输仿真。为了减少分析时间,我们专注于处理器的共享总线,发现可以在共享总线中的数据包处于拥塞状态时估计网络缓冲区的使用量。我们已经开发了一种共享总线时序模型,用于通过使用与处理器的CPU核心总线访问时间相关的参数来计算数据包传输容量。因此,其模拟吞吐量可以提高到每分钟13000个数据包。仿真结果表明,使用所提出的技术可以在两个半小时内完成一百万个数据包,并证实了所提出的模拟器可以用于优化大规模数据处理系统。

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