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<title>Caliban: Docker-based job manager for reproducible workflows</title>
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<unstructured_citation>Merkel, Dirk, Docker: Lightweight Linux Containers for Consistent Development and Deployment, 2014, March 2014, Belltown Media, Houston, TX, 2014, 239, 1075-3583, Docker promises the ability to package applications and their dependencies into lightweight containers that move easily between different distros, start up quickly and are isolated from each other., Linux J., mar, 2, 1, 3</unstructured_citation>
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<unstructured_citation>Accelerating the Machine Learning Lifecycle with MLflow, Zaharia, M. and Chen, Andrew and Davidson, A. and Ghodsi, A. and Hong, S. and Konwinski, A. and Murching, Siddharth and Nykodym, Tomas and Ogilvie, P. and Parkhe, Mani and Xie, F. and Zumar, Corey, IEEE Data Eng. Bull., 2018, 41, 39-45</unstructured_citation>
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<unstructured_citation>Reproducing Machine Learning Research on Binder, Forde, Jessica and Bussonnier, Matthias and Fortin, Félix-Antoine and Granger, Brian and Head, Tim and Holdgraf, Chris and Ivanov, Paul and Kelley, Kyle and Pacer, M and Panda, Yuvi and others, NIPS Workshop on Machine Learning Open Source Software, 2018</unstructured_citation>
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<unstructured_citation>Jonas, Eric and Venkataraman, Shivaram and Stoica, Ion and Recht, Benjamin, Occupy the Cloud: Distributed Computing for the 99%, CoRR, abs/1702.04024, 2017, http://arxiv.org/abs/1702.04024, arXiv, 1702.04024, Mon, 13 Aug 2018 16:49:06 +0200, https://dblp.org/rec/journals/corr/JonasVSR17.bib, dblp computer science bibliography, https://dblp.org</unstructured_citation>
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