DAME: A Distributed Diagnostics Environment for Maintenance Duncan Russell University of Leeds

Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds Project Partners EPSRC Funded, 3 years, £3.2 million. Ends Dec ‘04 4 Universities: –University of Leeds, School of Computing and School of Mechanical Engineering –University of Oxford, Dept of Engineering Science –University of Sheffield, Dept of Automatic Control and Systems Engineering –University of York, Dept of Computer Science Industrial Partners: –Rolls-Royce –Data Systems and Solutions –Cybula Ltd

Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds Engine flight data Airline office Maintenance Centre European data center London Airport New York Airport American data center Grid Diagnostics Centre Operational Scenario

Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds DAME Grid Challenges Building a demonstration system to demonstrate proof of concept for Grid technology in the aerospace diagnostic domain Two primary Grid challenges: –Management of large, distributed and heterogeneous data repositories –Remote, secure access to diagnostics tools, flight data and other operational data Other key issues: –Rapid data mining and analysis of fault data York AURA technology is critical component for data mining activity –Management of distributed users and resources –24/7 operation – QoS issues

Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds DAME Architectural Overview QUOTE Software AURA Cluster AURA Hardware AURA Matches Aura-G Decision Support Case Based Reasoning Novel Data AURA R a w E n g i n e D a t a Vibration Shaft Speed Fuel Flow S e r v i c e D a t a P a r t s D a t a DAME Diagnostics Portal Grid Services Management Modelling/ Simulation O p e r a t i o n a l D a t a The Grid...

Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds WRG Distribution

Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds Complex Virtual Organisation

Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds Specifying Workflow Workflow instances are specified through UML sequence diagrams.

Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds Specifying Workflow Business workflows as Activity Diagrams

Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds Workflow Requirements Diagnostic Workflows –Automatic; initiated by novel event being detected –Manual; launched by engineer through diagnosis workbench Manage provenance data for diagnosis ‘cases’ Management of secure services –Role management –Certificate handling Business Workflows –Job Assignment and Tracking

Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds Workflow System Components for the workflow system have been identified: –Workflow Manager; runs workflow instantiations –Workflow Generator; creates and manages workflows –Workflow Advisor; advisory system providing domain knowledge on how to deploy workflows

Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds DAME Services & Workflow Architecture

Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds Current Progress Workflow Manager has been implemented –Workflows captured as Java classes –Workflow enactment via apache server hosted at the DAME portal –Workflow Manager handles secure authorisation through management of X509 certificates

Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds Workflow Implementation

Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds Workflow Implementation

Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds Future Work Workflow Generator –Dynamic Workflow Generation –Means to edit/adapt workflows –Means to visualise workflows –Would like to adopt existing e-Science technology Development of Workflow Advisor –Case Based Reasoning system –Uses workflow provenance to build diagnosis case histories and capture domain knowledge Richer Security models –Authorisation across computing domains –Finer grain definition of role and access rights. –Dynamic control of virtual organisations