DAME Overview/Introduction - Department of Computer Science

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Transcript DAME Overview/Introduction - Department of Computer Science

The DAME project
Professor Jim Austin
University of York
Origins
• Funded by EPSRC under the governments eScience
initiative.
• Total government funds in eScience exceeds £220M
• Started as a result of existing work at the
collaborators sites
• Built on the WRG metropolitan Grid
• Few of us were Grid experts at the start!
Distributed Aircraft Maintenance Environment - DAME
Project Partners
• EPSRC Funded, £3.2 Million, 3 years, commenced
Jan 2002.
• UK pilot project for e-Science
• Aims to show the utility of Grid computing for data
and compute intensive engineering problems
• A generic system applicable in many domains
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Partners
• 4 Universities:
– University of York, Dept of Computer Science (lead)
– 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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Operational Scenario
Engine flight data
London Airport
Airline
office
New York Airport
Grid
Diagnostics Centre
Maintenance Centre
American data center
European data center
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DAME Grid Challenges
• Building a demonstration system as proof of concept
for Grid technology in the aerospace diagnostic
domain.
• Two primary Grid challenges:
– Management of large, distributed and heterogeneous data
repositories;
– Rapid data mining and analysis of fault data;
• Other key (commercial) issues:
– Remote, secure access to flight data and other operational
data and resources;
– Management of distributed users and resources;
– Quality of Service issues (and Service Level Agreements)
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The Data
• Each flight could produce up to 1GB of vibration data
• This is archived in distributed data repositories (EDS)
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Demonstrator Objectives
The DAME demonstration system provides a
diagnosis workbench (portal) which brings together a
suite of analysis services via Grid technology;
– Provides access to a range of analysis tools for the engine
diagnosis process
– Will act as central control point for automated workflows
– Manages issues of distributed diagnosis team and virtual
organisations
– Manages issues of security and user roles.
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DAME Service Overview
DAME Diagnostics
Portal
Grid Services Management
Modelling/
Simulation
Case Based
Reasoning
...
Decision
Support
QUOTE
Novel
Data
AURA-G
Parts
Data
Operational
Data
Service
Data
Data-Mining
Raw
Engine
Data
The Grid
Vibration
Shaft Speed
Fuel Flow
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White Rose Grid Distribution
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09.30 – 10.30 DAME Overview and System Demonstration
• The DAME Project (Professor Jim Austin)
• Engine Health Monitoring and QUOTE
• DAME System Demonstration (Dr Tom Jackson)
10.30 – 10.45 Coffee/Tea Break
10.45 – 11.45 Session 1 – DAME Grid Service Architecture and Grid
Workflow
• Grid Service Architecture and Workflow Engine (Duncan Russell)
• Grid Service Development (Sarfraz Nadeem)
• Grid Quality of Service and Service Level Agreements (Dr Karim
Djemame)
11.45 – 12.30 Session 2 – Decision support tools
• Grid deployment of Cased Based Reasoning Systems (Max Ong)
• Engine Modelling tools Xiaxou Xen)
12.30 – 13.30 Lunch
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13.30 – 14.30 Session 3 – Grid based large-scale data mining &
patterning matching services
• AURA-G search engine (Andy Pasley)
• Grid enabled pattern matching (Bojian Liang)
• Distributed Data Architecture (Mark Jessop, Andy Pasley)
14.30 – 15.30 Session 4 – Provenance and Workflow Support
• Capturing Provenance (Alison Mackay)
• Workflow Support (Max Ong)
15.30 – 15.45 Coffee/Tea Break
15.45 –16.30 Session 5 – DAME Security and Dependability
• Grid Security (Howard Chivers)
• DAME Dependability Methodology (Martyn Fletcher)
16.30 – 17.00 Discussion
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