SAFE: Simulation automation framework for experiments
SAFE: Simulation automation framework for experiments
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DOI：
10.1109/wsc.2012.6465286
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发表时间：
2012-12
期刊：
影响因子：
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通讯作者：
Bryan C. Ward;’. BucknellBCSE;Andrew Hallagan;Christopher S. Main;Vinícius Felizardo;Shelby Kilmer
中科院分区：
文献类型：
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作者：
Bryan C. Ward;’. BucknellBCSE;Andrew Hallagan;Christopher S. Main;Vinícius Felizardo;Shelby Kilmer
网络模拟研究的工作流程要求遵守方法学中的最佳实践，以便第三方能够可靠地重现结果。引入错误的机会从模型描述开始，并渗透到结果报告的过程中。文献表明，即使是在受人尊敬的地方出版的出版物也有无意中的错误和方法应用不当。当专家们有可能失败时，期望学生们会表现得更好是不合理的。本文介绍了一个系统，旨在为流行的ns-3网络模拟器的经验不足的用户提供指导。SAFE自动化了从模型参数初始化到实验并行执行、输出数据的处理和持久存储以及结果的图形化可视化的工作流程。我们讨论的架构和系统的实现在文献中类似的贡献的背景下。
The workflow of a network simulation study requires adherence to best practices in methodology so that results are credible and reproducible by third parties. The opportunities for one to introduce errors start at model description and permeate the process through to the reporting of results. The literature indicates that even publications in respected venues include inadvertent mistakes and poor application of methodology. When experts are liable to fail, it is unreasonable to expect that students would fare any better. This paper presents a system designed to provide guidance for inexperienced users of the popular ns-3 network simulator. SAFE automates the workflow from the initialization of model parameters, to the parallelized execution of experiments, to the processing and persistent storage of output data, and to graphical visualization of results. We discuss the architecture and the implementation of the system in the context of similar contributions in the literature.