快速小区级ATM网络仿真

Xiao Zhonge, John G. Cleary
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引用次数: 1

摘要

本文介绍了使用顺序和并行离散事件仿真内核进行单元级ATM网络仿真的性能结果。使用五个基准测试来演示模拟内核对不同类型模型的性能。结果表明,对于基准测试中使用的网络模型类型,TasKit模拟内核能够优于所有其他顺序和并行测试的内核。对于一个基准测试,taskkit的性能比传统的顺序模拟内核高出3倍。对于相同的基准测试,TasKit的性能比其他并行内核测试的最佳性能高出6倍。本文解释了这种性能优势是如何实现的,并警告说,对自动模型划分的额外研究将是必不可少的,以便使该技术能够为一般仿真社区所使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast cell level ATM network simulation
This paper presents performance results for cell level ATM network simulations using both sequential and parallel discrete event simulation kernels. Five benchmarks are used to demonstrate the performance of the simulation kernels for different types of model. The results demonstrate that for the type of network models used in the benchmarks, the TasKit simulation kernel is able to outperform all of the other kernels tested both sequentially and in parallel. For one benchmark TasKit is shown to outperform a conventional sequential simulation kernel by a factor of 3. For the same benchmark TasKit is shown to outperform the best of the other parallel kernels tested by a factor of 6. The paper explains how this performance advantage is achieved and cautions that additional research into automatic model partitioning will be essential to make this technology accessible to the general simulation community.
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CiteScore
1.30
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0.00%
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