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CARMEN: a Scalable Science Cloud

Lookup NU author(s): Professor Paul WatsonORCiD


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Understanding how the brain works is a major scientific challenge which will benefit medicine, biology and computer science. Globally, over 100,000 neuro-scientists are working on this problem. However, the data that forms the basis for their work is rarely shared even though it is difficult and expensive to produce. Nor are the analysis tools that scientists use to make sense of the data. The CARMEN project ( is addressing these challenges by developing a scalable cloud architecture for data sharing, integration, and analysis. An expandable range of services are provided in the cloud to extract value from raw and transformed data. This promotes the sharing of analysis services as well as data, and allows services to execute close to the data on which they operate.

Publication metadata

Author(s): Watson P, Austin J

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Google Seattle Conference on Scalability

Year of Conference: 2008

Pages: 1-2

Publisher: Google Inc.


Notes: Abstract only on conference site. Video of full talk is available on YouTube.