Grid Enabled Optimisation and Design Search for Engineering GEODISE Prof Simon Cox Southampton Unive

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Grid Enabled Optimisation and Design Search for
Engineering (GEODISE)Prof Simon CoxSouthampton
University

• http//www.geodise.org

Semantic Grid Workshop, Tokyo, March 2003
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Grid Enabled Optimisation and Design Search for
Engineering (GEODISE)Southampton, Oxford and
Manchester

• Simon Cox- Grid/ W3C Technologies and High
  Performance Computing
• Global Grid Forum Apps Working Group
• Andy Keane- Director of Rolls Royce/ BAE Systems
  University Technology Partnership in Design
  Search and Optimisation
• Mike Giles- Director of Rolls Royce University
  Technology Centre for Computational Fluid
  Dynamics
• Carole Goble- Ontologies and DARPA Agent Markup
  Language (DAML) / Ontology Inference Language
  (OIL)
• Nigel Shadbolt- Director of Advanced Knowledge
  Technologies (AKT) IRC

• BAE Systems- Engineering
• Rolls-Royce- Engineering
• Fluent- Computational Fluid Dynamics
• Microsoft- Software/ Web Services
• Intel- Hardware
• Compusys- Systems Integration
• Epistemics- Knowledge Technologies
• Condor- Grid Middleware

http//www.geodise.org
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The GEODISE Team ...

• Richard Boardman
• Sergio Campobasso
• Liming Chen
• Simon Cox
• Mihai Duta
• Clive Emberey
• Hakki Eres
• Matt Fairman
• Carole Goble
• Mike Giles
• Ian Hartney
• Tracey Hunt
• Zhuoan Jiao

• Andy Keane
• Marc Molinari
• Colin Puleston
• Graeme Pound
• Nicola Reader
• Angus Roberts
• Mark Scott
• Wenbin Song
• Nigel Shadbolt
• Paul Smart
• Barry Tao
• Jasmin Wason
• Fenglian Xu
• Gang Luke Xue

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Design
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Gas Turbine Engine Initial Design
Base Geometry
Secondary Kinetic Energy
Collaboration with Rolls-Royce
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Design of Experiment Response Surface Modelling
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Optimised Design
Geometry
Secondary Kinetic Energy
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GEODISE
Geodise will provide grid-based seamless access
to an intelligent knowledge repository, a
state-of-the-art collection of optimisation and
search tools, industrial strength analysis codes,
and distributed computing data resources
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Knowledge Portal
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Knowledge Acquisition
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Workflow Construction System

• Construction
• Use ontology ontology service to facilitate
  method selection instantiation
• Advising
• Use workflow knowledge workflow services to
  advise and critique
• Storage and query
• Add semantic to databases workflow
  automatically, thus facilitate content-based
  search and query

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Building Ontology - 1

• Task model ontology

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Process-level Workflow Editor
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Building Ontology - 2

• Gambit command ontology
• A gambit command
• edge create edge.upper nurbs vertex.1
  vertex.41 interpolate

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Low-level Workflow Editor

• Ontology assisted Gambit journal file editing
• high-light commands and keywords
• Auto-completion
• Advises on vertical workflow

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Rule-based Workflow Advisor

• Assist constructing workflows
• Knowledge base and reasoning engine integrated in
  the workflow editor
• Dynamic contextual advices
• Driven by facts ( system state )
• Tasks
• Available resources
• State panel maintained by the workflow editor
• Critiques on next possible actions
• Possible tasks to be carried out next
• Resource still needed for that task
• Use pure java expert shell JESS (Java Expert
  System Shell)
• Easy to integrate
• Portable
• Maintainable facts and rules exists separately
  from the application

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Production Rule Reasoning

• Typical rule format
• LHS (facts expression) ? RHS (Actions)
• E.g. Grain mature, combine available ? harvest
• Reasoning mechanism
• Data (facts, state panel) driven
• Matching facts in working memory with LHS of
  all rules
• Select one rule to fire Conflict resolution
  strategy
• Multiple forward chaining
• Rules triggered by other rules

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Key Facts Used in the Rule Base

• Templates

workflow_task (slot name) (multislot
input) (slot output) (slot finished?)
(slot constrains) (multislot dependance)

• state_panel
• (multislot finished_tasks)
• (slot user_skill_level)
• (multislot available_resources)
• (slot expected_output))
• request_resource_provider
• (multislot requested_resources)

• Instances

• workflow_task (name "mesh") (input "step_file"
  "gambit_jou_file") (output "mesh_file")
  (finished? yes) (constrains nil) (dependance
  nil)
• workflow_task (name "analysis")
• workflow_task (name "optimisation")
• workflow_task (name DOE")
• state_panel (finished_tasks "geometry")
  (user_skill_level "low") (available_resources
  "step_file" "gambit_jou_file" "fluent_jou_file")

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Rule-based Workflow Advisor
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Knowledge Technologiesa) Workflow
construction- process-level ontology -
task-level ontologyb) Rule based reasoning
Coming next
http//www.geodise.org
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Toolkits
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• Application
• CAD (ProE)
• CFD (Adjoint- Hydra, Fluent, Fluent RSM)
• Computation/ Middleware
• Compute Toolkit
• Globus Condor
• Database
• XML Toolkit
• Database Toolkit
• Archive for Files
• Archive for Metadata
• Query
• Optimisation
• Options toolkit
• Knowledge
• Acquisition
• Ontology Services
• Workflow Construction
• Advice Services

Build complex things from lots of simple things
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The future of design optimisation

• Design Optimisation needs integrated services
• Design improvements driven by CAD tools coupled
  to advanced analysis codes (CFD, FEA, CEM etc.)
• On demand heterogeneous distributed computing and
  data spread across companies and time zones.
• Optimization for the masses alongside manual
  search as part of a problem solving environment.
• Knowledge based tools for advice and control of
  process as well as product.
• Geodise will provide grid-based seamless access
  to an intelligent knowledge repository, a
  state-of-the-art collection of optimisation and
  search tools, industrial strength analysis codes,
  and distributed computing and data resources