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The average size of a science dataset is increasing at an exponential rate, while advances in computing and storage capacity are increasing at a linear rate. This raises the barrier-to-entry for many scientists, and frustrates efforts around open data and science collaboration. We will review some of the lessons learned while attempting to adapt Silicon Valley techniques to the challenges of NASA's science data. These lessons center on the use of commodity hardware, open-source software, and experimental networking, to achieve the goals of 'Cloud Computing' - elastic and self-provisioned use of shared resources.
About the speaker
Joshua McKenty has been pushing forward the causes of open science and open data at NASA for the past two years. Prior to that he spent the last decade building teams and software, in Silicon Valley, Canada, and the American Mid-West.
Organised by: M.Marques and Miguel Angel Marquina - IT Department
CERN Computing Seminars and Colloquia