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An efficient cloud scheduler design supporting preemptible instances., , and . Future Generation Comp. Syst., (2019)Benchmarking Deep Learning Infrastructures by Means of TensorFlow and Containers., , , , , and . ISC Workshops, volume 11887 of Lecture Notes in Computer Science, page 478-489. Springer, (2019)Analysis of Scientific Cloud Computing requirement., and . CoRR, (2013)INDIGO-Datacloud: foundations and architectural description of a Platform as a Service oriented to scientific computing., , , , , , , , , and 18 other author(s). CoRR, (2016)INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures., , , , , , , , , and 43 other author(s). J. Grid Comput., 16 (3): 381-408 (2018)Enabling rootless Linux Containers in multi-user environments: The udocker tool., , , , , , , , and . Comput. Phys. Commun., (2018)Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey., , , , , , , and . Artif. Intell. Rev., 52 (1): 77-124 (2019)Improved Cloud resource allocation: how INDIGO-DataCloud is overcoming the current limitations in Cloud schedulers., , , , , , , , , and 1 other author(s). CoRR, (2017)Standards for enabling heterogeneous IaaS cloud federations., , and . CoRR, (2017)An efficient cloud scheduler design supporting preemptible instances., , and . CoRR, (2018)