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dc.contributor.author O'Riley, Steven
dc.contributor.author Arya, Aman
dc.date.accessioned 2017-09-15T15:29:35Z
dc.date.available 2017-09-15T15:29:35Z
dc.date.issued 2017-07-31
dc.identifier.citation O'Riley, S. & Arya, A. (2017). Jetstream and Brain-Life: Creating a reproducible research platform on the Jetstream cloud. https://doi.org/10.5967/K8MW2F9P en
dc.identifier.uri http://hdl.handle.net/2022/21684
dc.description.abstract Jetstream is the 1st production cloud funded by the National Science Foundation (NSF) for conducting general science and engineering research. Brain-Life is an in-development grassroots research platform with the proposed goal to provide an easy-to-use platform for Neuroscientists and other STEM (Science, Technology, Engineering, Mathematics) researchers to publish their data and algorithms, as well as manipulate archived data with on-demand compute resources. One of the core compute resources being used by the Brain-Life platform is the Jetstream production cloud. In this paper, we discuss the ease by which the Brain-Life platform is able to integrate itself with the Jetstream cloud and depict several applications on Brain-Life that have been successfully implemented using the Jetstream cloud service. We also identify issues in the integration of Brain-Life and Jetstream, and the problems which show up when trying to run algorithms on the Jetstream cloud via the Brain-Life platform. en
dc.language.iso en en
dc.rights.uri https://creativecommons.org/licenses/by-nd/4.0/ en
dc.subject etstream, Brain-Life, Reproducibility, Data Storage, Science Gateway, Clusters, HPC Systems en
dc.title Jetstream and Brain-Life: Creating a reproducible research platform on the Jetstream cloud en
dc.type Working Paper en
dc.identifier.doi 10.5967/K8MW2F9P


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