Workflow on the GRIDs surface - PowerPoint PPT Presentation

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Workflow on the GRIDs surface

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  1. Workflow on the GRIDs surface • GRIDs ‘surface’ provides • Computational capabilities of GRID • Information presentation capabilities of WWW • Information management capabilities • But not yet environment for workflow

  2. Knowledge Layer Information Layer Data toKnowledge Control Computation / Data Layer The GRIDs Architecture

  3. Data toKnowledge Control Particle Physics Application Genomics Application Environmental Application E-Business Application The GRIDs Architecture

  4. U:USER R:RESOURCE S:SOURCE A POSSIBLE ARCHITECTURE The GRIDs Environment Um:User Metadata Ua:User Agent Sm:Source Metadata Sa:Source Agent Ra:Resource Agent Rm:Resource Metadata brokers

  5. A Brief History of GRIDs • 1G: custom-made architecture machines to user • Pioneering metacomputing • 2G: proprietary standards and interfaces • I-WAY GLOBUS, UNICORE, CONDOR, LEGION AVAKI • 2.5G: added in FTP, SRB, LDAP, AccessGRID • 3G: adopted W3C concepts for open interfaces – OGSA / OGSI: note especially OGSA/DAI • But built on 2.G foundations e-Science Apps e-Science R&D

  6. But….. • This comes nowhere near the requirements as originally defined for GRIDs • Too low-level (programmer not end-user level) • Insufficient representativity • Insufficient expressivity • Insufficient resilience • Insufficient dynamic flexibility

  7. Input Parameter definitions Service description (descriptive metadata) Output Parameter definitions Functional Program Code (to deliver the service) Restrictions on use of service (restrictive metadata) Services: Challenges 1 • Description • Location • Requirements matching • Composing • Utilising •  metadata

  8. Services: Challenges 2 Multiple Instances Parallel execution • Composition • End-to-end FR satisfaction • End-to-end NFRs satisfaction • Avoiding emergent properties • Conditions of use of services • Processes • wrapped with data • wrapped with processing, storage etc • wrapped with real estate • wrapped with staff

  9. server server server server e-,i-,k-infrastructure k- Deduction & induction – human or machine i- Information Systems e- server Physical detectors

  10. Middleware – and as SOKUs k- K- upper middleware (resolves semantic heterogeneity) K- lower middleware (presents declared semantics) i- Upper middleware (hides syntactic heterogeneity) Lower middleware (hides physical heterogeneity) e-

  11. Workflow on the GRIDs Surface • Nirvana is • GRIDs ‘surface’ • Providing computation, information presentation and information management • Plus Self* resilience • Plus capabilities to support workflow

  12. Overall : The Way Forward SCIENTIFIC DATASETS Data Information Knowledge CRIS Management of Research PUBLICATIONS Data Information Knowledge

  13. Overall : The Way Forward Portal with knowledge-assisted user interface SCIENTIFIC DATASETS Data Information Knowledge CRIS Management of Research CDR (CERIF) PUBLICATIONS Data Information Knowledge Digital Curation Facility

  14. Overall : The Way Forward Portal with knowledge-assisted user interface SCIENTIFIC DATASETS Data Information Knowledge metadata PUBLICATIONS Data Information Knowledge Digital Curation Facility

  15. Overall : The Way Forward Portal with knowledge-assisted user interface SCIENTIFIC DATASETS Data Information Knowledge metadata PUBLICATIONS Data Information Knowledge publish validate Digital Curation Facility

  16. Overall : The Way Forward Ambient, Pervasive Access Portal with knowledge-assisted user interface SCIENTIFIC DATASETS Data Information Knowledge metadata PUBLICATIONS Data Information Knowledge publish validate Digital Curation Facility GRIDs

  17. Overall : The Way Forward Ambient, Pervasive Access Portal with knowledge-assisted user interface SCIENTIFIC DATASETS Data Information Knowledge metadata PUBLICATIONS Data Information Knowledge With Workflow Support publish validate Digital Curation Facility GRIDs

  18. Overall : The Way Forward Ambient, Pervasive Access Portal with knowledge-assisted user interface SCIENTIFIC DATASETS Data Information Knowledge metadata PUBLICATIONS Data Information Knowledge With Workflow Support With Interoperation publish validate Digital Curation Facility GRIDs

  19. Overall : The Way Forward Ambient, Pervasive Access Portal with knowledge-assisted user interface SCIENTIFIC DATASETS Data Information Knowledge metadata PUBLICATIONS Data Information Knowledge With Workflow Support R&D to Wealth Creation With Interoperation publish validate Digital Curation Facility GRIDs

  20. Three Steps to Nirvana The Perfect CRIS Workflow on the GRIDs Surface Metadata and Data Exchange Standards Complete Process ICT Support