What 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.
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.
 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
 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.
 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
 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
 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,