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Reproducible Network Research with a High-Fidelity Software-Defined Network Testbe

Posted on:2018-03-13Degree:M.SType:Thesis
University:Illinois Institute of TechnologyCandidate:Wu, XiaoliangFull Text:PDF
GTID:2478390020457385Subject:Computer Science
Abstract/Summary:
Network research, as an experimental science, ought to be reproducible. However, it is not a standard practice to share models, methods or software code to support experimental evaluation and reproducibility when publishing a network research paper. In this work, we advocate reproducible networking experiments by building a unique testbed consisting of container-based network emulation and physical devices. The testbed provides a realistic and scalable platform for reproducing network research. The testbed supports large-scale network experiments using lightweight virtualization techniques and capable of running across distributed physical machines. We utilize the testbed to reproduce network experiments, and demonstrate the effectiveness by comparing the results with the original published network experiments, such as Hedera, a scalable and adaptive traffic flow scheduling system in data center networks.
Keywords/Search Tags:Network, Reproducible
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