Paving the way for Knowledgeable Grid Services and Systems

1
UPM

• Paving the way for Knowledgeable Grid Services
  and Systems
• http//www.ontogrid.net
• EU IST FP6 Grid Projects Launch
• Brussels, 15th September 2004

2
Objectives

• Strategic
• Pioneer the use of Knowledge Technologies (KT) to
  enhance and extend architecture and design of
  Grid computing systems
• Enable Deployment of Knowledge Technologies in
  Grid Architectures
• Deploy prototypes in the context of real world
  Business Applications

• Technical
• Knowledge Services that are Grid Aware and Grid
  Compliant
• Grid Services that are Knowledge Aware

Knowledge Aware
Grid Aware
3
SOA Innovation

• Knowledge and semantic metadata typically
  distributed, heterogeneous, and often implicit or
  embedded in Grid applications

• Explicit metadata representations using shared
  Ontology Services

OntoGrid

• Ad-Hoc adoption of ontologies

• Use of standardised languages

State of Art

• Centralised Ontology Services

• Grid Aware Ontology Services

• Hardwired coordination, and task/resource
  allocation

• Agent-based techniques for coordination and
  cooperation

• Lack of appropriate models/methodologies

• Combinations of ontology engineering and agent
  systems development methodologies

• Assumes small/medium scale, stability and
  homogeneity of resources and user access patterns

• P2P Techniques to support large scale, dynamic,
  heterogeneous resources and access

• Debugging at the symbol level

• Intelligent debugging tools utilising knowledge

4
Expected Results

• Reference Architecture for Semantic Grid Services
• Methodology for Semantic Grid applications
• A Grid Roadmap for the Knowledge Community
• Transition to Virtual Organisations of
  coordinating/cooperating services.
• Semantic Annotation services to support
  deployment and matchmaking
• Evaluation of the proposals against two
  real-world use cases
• Satellite mission planning
• Insurance settlement

• Beneficiaries and users are primarily
• System Developers
• System Integrators
• Researchers
• Dissemination via
• Traditional publishing routes
• Standards organisations
• Cross-collaboration with other projects
• Education

5
Benefits

• Moving Intelligence from Grid Implementors to
  Grid Infrastructure.
• Well founded frameworks.
• Widening the applicability of Grid Computing
• Providing a prototypical example of Semantic Grid
  for both academia and industry
• Impact on standardisation activities in both Grid
  and Semantics
• GGF, W3C, FIPA
• Raising the profile of Semantic Grid in the IT
  and IT-related press

• The Grid needs Knowledge Services
• Knowledge Services need the Grid