Jan. 6, 2022, 2:10 a.m. | Xin Wang, Pei Guo, Xingyan Li, Jianwu Wang, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman

cs.LG updates on arXiv.org arxiv.org

Cloud computing has become a major approach to enable reproducible
computational experiments because of its support of on-demand hardware and
software resource provisioning. Yet there are still two main difficulties in
reproducing big data applications in the cloud. The first is how to automate
end-to-end execution of big data analytics in the cloud including virtual
distributed environment provisioning, network and security group setup, and big
data analytics pipeline description and execution. The second is an application
developed for one cloud, …

analytics arxiv big big data big data analytics cloud data data analytics

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