Transcript ppt - National e

DAME: The route to
commercialisation
Tom Jackson
University of York
Project Partners
• EPSRC Funded, £3.2 Million, 3 years, commenced Jan 2002.
• 4 Universities:
– University of York, Dept of Computer Science
– University of Sheffield, Dept of Automatic Control and Systems
Engineering
– University of Oxford, Dept of Engineering Science
– University of Leeds, School of Computing and School of
Mechanical Engineering
• Industrial Partners:
– Rolls-Royce
– Data Systems and Solutions
– Cybula Ltd
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Distributed Aircraft Maintenance Environment - DAME
DAME Objectives
• Proof of concept for Grid technology in the
aerospace diagnostic domain.
• Three primary Grid challenges:
– Data Management;
– Rapid data mining and analysis of fault data;
– Information management and data fusion for
diagnosis/prognosis applications;
• Other key (commercial) issues:
– Security
– Virtual Organisations
– Quality of Service issues (and Service Level Agreements)
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Operational Scenario
Engine flight data
Engine flight data
London Airport
New York Airport
Airline office
Diagnostics
Centre
GRID
Maintenance
Centre
US data centre
European data centre
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Exploitation Route
• DAME Technology pull-through in DTI funded
BROADEN project
–
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–
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Industrial strength grid
Deployed across diverse RR operating divisions
Includes cluster computing
Grid Infrastructure managed by EDS
• DAME methods will be deployed on operational testbed data
• Project launched 1st April 2005.
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Success Factors
• Strong industrial engagement achieved
– Early Use Case development
– Demonstrator closely aligned to RR and DS&S business
process
– Industrial trials of subsets of technology
• Consideration of commercial drivers
– Scalable methods
– Security and dependability analysis
– Quality of Service
• Effective demonstrator
– Combined Technology and Business issues
– Deployed on operational Grid (WRG)
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Challenges
• Balance of research vs development effort
– Effort to build demonstrator
– Rapid migration of research output into demonstrator
– Responding to ‘customer’ requirements
• Changing standards (GT2-GT4)
• Gaps in middleware
– eg configurable workflow tools
• Data Access and commercial sensitivities
• Distributed development effort
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Summary
• DAME achieved strong & effective industrial
engagement
• Confidence in PoC led to follow on industrial
exploitation
• Demonstrator was effective for both technology
developers and business managers
• Pilot projects require different balance of research
skills
• Achieving industry engagement takes time & effort
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