REPRODUCIBLE NETWORK RESEARCH WITH A HIGH-FIDELITY SOFTWARE-DEFINED NETWORK TESTBED Wu, Xiaoliang 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 e↵ectiveness 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. M.S. in Computer Science, May 2017 Jin, Dong Kevin 2017 2017-05 Thesis application/pdf islandora:9161 http://hdl.handle.net/10560/4143 CS / Computer Science Illinois Institute of Technology en In Copyright http://rightsstatements.org/page/InC/1.0/ Restricted Access