Leveraging symbiotic relationship between simulation and emulation for scalable network experimentation

M. Erazo, Jason Liu
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引用次数: 15

Abstract

A testbed capable of representing detailed operations of complex applications under diverse large-scale network conditions can be extremely helpful for investigating potential system design and implementation problems, and studying application performance issues, such as scalability and robustness, even before the applications are deployed in a real environment. We introduce a novel method that combines high-performance large-scale network simulation and high-fidelity network emulation, and thereby enables real instances of network applications and protocols to run in real operating environments, and be tested under large-scale simulated network settings. In our approach, network simulation and emulation form a symbiotic relationship, through which they are synchronized for an accurate representation of the large-scale traffic behavior. We introduce a model downscaling method, along with an efficient queuing model and a traffic reproduction technique, which can significantly reduce the synchronization overhead and improve computational efficiency, while maintaining the accuracy of the system. We validate our approach with extensive experiments via simulation and with a real-system prototype.
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利用仿真和仿真之间的共生关系进行可扩展的网络实验
能够在各种大规模网络条件下表示复杂应用程序的详细操作的测试平台对于调查潜在的系统设计和实现问题以及研究应用程序性能问题(例如可伸缩性和健壮性)非常有帮助,甚至可以在应用程序部署到实际环境之前进行研究。我们提出了一种将高性能大规模网络仿真与高保真网络仿真相结合的新方法,从而使网络应用和协议的真实实例能够在真实的操作环境中运行,并在大规模模拟网络设置下进行测试。在我们的方法中,网络仿真和仿真形成了一种共生关系,通过这种关系,它们可以同步以准确地表示大规模的流量行为。我们引入了一种模型降尺度方法,以及一种高效的排队模型和流量再现技术,可以显著降低同步开销,提高计算效率,同时保持系统的准确性。我们通过大量的仿真实验和真实系统原型验证了我们的方法。
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