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The CARMEN Science Cloud, led by Paul Watson at Newcastle University, addresses the pressing informatics challenges in understanding the brain, an area of significant scientific, medical, and biological relevance. With 100,000 scientists tackling neuroinformatics issues, the project focuses on overcoming barriers such as data collection costs, proprietary formats, and a lack of shared analysis techniques. CARMEN aims to provide substantial data storage (100TB+), advanced neuroinformatics services, and automated workflows to foster collaboration and innovation in neuroscience research.
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The CARMEN Science Cloud Paul Watson Computing Science Newcastle University, UK Paul.Watson@ncl.ac.uk
Research Challenge Understanding the brain is the greatest informatics challenge • Enormous implications for science: • Medicine • Biology • Computer Science 100,000 scientists are working on this
Neuroinformatics Problems • Data is: • expensive to collect but rarely shared • in proprietary formats & locally described • The result is: • a shortage of analysis techniques that can be applied across neuronal systems • limited interaction between research centres with complementary expertise
UK EPRSC e-Science Pilot $8M (2006-10) 20 Investigators CARMEN Project Stirling St. Andrews Newcastle York Manchester Sheffield Leicester Cambridge Warwick Imperial Plymouth
Focus on Neural Activity • raw voltage signal data from single or multi-electrode arrays neurone 1 neurone 2 neurone 3 cracking the neural code
Epilepsy Exemplar • Data analysis guides surgeon during operation • Data stored for further analysis WARNING! The next 2 Slides show an exposed human brain
CARMEN e-Science Requirements • Store • very large data storage (100TB+) • Analyse • suite of neuroinformatics services • support data intensive analysis • Automate • workflow • Share • under user-control
CARMEN Cloud Architecture User access over Internet (typically via browser) Users upload data & services Users run analyses Data storage and analysis
Cloud Design Options Science App 1 Science App n .... Science Cloud Platform Science App 1 Science App n .... Cloud Infrastructure: Storage & Compute Cloud Infrastructure: Storage & Compute
CARMEN Cloud Filestore with Pattern Search Workflow Security Database Workflow Enactment Metadata Processing Browsers & Rich Clients Service Repository
CARMEN Cloud – technology re-use SRB & Aura SDE Filestore with Pattern Search Workflow SQL Server Taverna Security Gold Symba Database Workflow Enactment Dynasoar Metadata Processing Browsers & Rich Clients Service Repository
Current State of CARMEN • Working prototype with early users • Now generalising approach with e-Science Central • new code base • + supports range of sciences • + social networking for sharing & collaboration • funded by regional development authority (One NE) • Sustainability is an issue...
Sustainability – Commercial Clouds to the Rescue? • cost of managing & maintaining h/w & s/w • academics are funded to do research, not run a service • Could we use Commercial Clouds? • “Pay-as-you-go” for storage & processing • about to investigate use of Microsoft Cloud • Arjuna Agility “on ramp” to commercial clouds • Still a gap...
A Sustainable Science Cloud Science App 1 Science App n ? .... Science Cloud Platform Problem: delivering the e-science services ? e-Science Central www.inkspotscience.com Commercial Clouds Storage & Compute
Summary & Further Information • CARMEN is delivering a scalable cloud for neuroscience • www.carmen.org.uk • www.youtube.com/watch?v=2m4EvnlgL8Q • e-Science Central: a science cloud for academic and industrial scientists across NE England • We are building a pay-as-you go Science Cloud for Capability, Agility & Sustainability