Cloud Kotta: Enabling Secure and Scalable Data Analytics in the Cloud

18 Oct 2016 Babuji Yadu N. Chard Kyle Gerow Aaron Duede Eamon

Distributed communities of researchers rely increasingly on valuable, proprietary, or sensitive datasets. Given the growth of such data, especially in fields new to data-driven, computationally intensive research like the social sciences and humanities, coupled with what are often strict and complex data-use agreements, many research communities now require methods that allow secure, scalable and cost-effective storage and analysis... (read more)

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  • DISTRIBUTED, PARALLEL, AND CLUSTER COMPUTING