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Distributed Aircraft Maintenance Environment (DAME)

Distributed aircarft maintenance environment research  project - School of ComputingWhat is DAME?
DAME started in 2002 and consists of a number of key technologies brought
together within a Grid framework to support Distributed Diagnostics and Prognostics. So far the application domain has been fleet wide predictive maintenance of Rolls-Royce (RR) Aero Engines.

The DAME project has been recognised as an internationally leading project within UK e-Science, featured in many international talks and highlighted by Tony Hey, e-Science envoy, as well as talks by Rolls-Royce and Sun Microsystems. The project has made valuable impact on the collaborating companies business, for example, to Rolls-Royce and Data Systems and Solutions (DS&S). DS&S and Cybula Ltd have started marketing the tools and methods developed within the Project.

Underpinning Research
The main research themes consisted of: Requirements capture, and the impact of Grid distribution on architecture, security and dependability; Improved feature detectors for vibration and performance data analysis from systems such as RR Aero engines; Grid enabled Case Base Reasoning (CBR) and workflow advisors; Middleware Quality of Service (QoS), including resource brokerage and Service Level Agreements; Grid enabled high performance, high volume, distributed pattern matching.

Leeds contributed developed a number of key technologies: (a) Decision support systems for prognosis and diagnosis application based upon Work-flow capture and provenance mechanisms; (b) Distributed Engine Modelling capability for multiple scenario investigation; (c) Intelligent infrastructure for DAME, including security, dependability, workflows and resource management; (d) DAME Service level Agreements (deployed within a Service Orientated Architecture) to support contractual obligations of service providers; (e) Developing and exploiting first of kind DAME demonstrators applying state of the art portal technologies.

Related Publications
[1] A. Othman, I. Gourlay and K. Djemame. An Adaptive Service for Grid Applications. To appear
in the International Journal of Parallel, Emergent and Distributed Systems, 2010

[2] D. Russell, P. Dew and K. Djemame. A Secure Service-Based Collaborative Workflow System.
International Journal of Business Process Integration and Management, Vol. 2, No.3, 2007, pp.
230-244

[3] K. Djemame, M. Haji, I. Gourlay and P. Dew. Resource Brokering on the White Rose Grid. In:
Performance Evaluation of Parallel, Distributed and Emergent Systems. M. Ould-Khaou and G.
Min (Eds.), Volume 1 (Distributed, Cluster and Grid Computing), Chapter 11, Nova Science
Publishers, 2007, pp. 241-267

[4] J. Padgett, K. Djemame and P. Dew. Predictive Adaptation for Service Level Agreements on the
Grid. International Journal of Simulation: Systems, Science & Technology, Vol. 7, No. 2, March
2006, pp. 29-42

[5] M. Haji, I. Gourlay, K. Djemame and P. Dew. A SNAP-based Community Resource Broker
using a Three-Phase Commit Protocol: a Performance Study.. Computer Journal, Vol. 48, No. 3,
2005, pp.333-346.