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This paper presents MACI, the first bespoke framework for the management, thescalable execution, and the interactive analysis of a large number of networkexperiments. Driven by the desire to avoid repetitive implementation of just afew scripts for the execution and analysis of experiments, MACI emerged as ageneric framework for network experiments that significantly increasesefficiency and ensures reproducibility. To this end, MACI incorporates andintegrates established simulators and analysis tools to foster rapid butsystematic network experiments.  We found MACI indispensable in all phases of the research and developmentprocess of various communication systems, such as i) an extensive DASH videostreaming study, ii) the systematic development and improvement of MultipathTCP schedulers, and iii) research on a distributed topology graph patternmatching algorithm. With this work, we make MACI publicly available to theresearch community to advance efficient and reproducible network experiments.

Don't Repeat Yourself: Seamless Execution and Analysis of Extensive Network Experiments