CG Architecture

1
K-Wf Grid
Knowledge-based Workflow System for Grid
Applications
The Motivation Applications, constructed from
services are becoming more complex and dynamic in
nature. Current solutions rely on a human as a
source of knowledge. A sample workflow for a
flood prediction application is presented to the
right.
User
Portal
Workflow Service
Workflow
Knowledge
Storage Service
Meteorology Service
Hydrology Service
Hydraulics Service
Meteorology Visualization
Hydrology Visualization
Hydraulics Visualization

• The Solution
• Integrating Grid services into coherent
  application scenarios.
• Enabling automatic construction and reuse of
  workflows with knowledge gathered during
  operation.
• Involving Grid monitoring and knowledge
  acquisition services in order to provide added
  value for end users.
• Developing a system which would propose effective
  suggestions on workflow design, based on the
  knowledge it gathers, to application users.

• The Approach
• Capturing and reusing knowledge about Grid
  environments
• Ontology-based optimization of workflows
• Framework for collaborative knowledge reuse
• Development of new tools and services for
  knowledge extraction, storage and application in
  workflow design
• Proof-of-concept applications in the areas of
  environmental management, business and public
  services
• Integrated system architecture
• Technologies service-oriented Grid architecture,
  software agents, ontologies, dynamic
  instrumentation

• The Consortium
• Academic institutions
• Fraunhofer institute for Computer Architecture
  and Software Technology,
• Berlin (project coordinator)
• Institute for Computer Science, University of
  Innsbruck
• Institute of Informatics of the Slovak Academy
  of Sciences
• ACC CYFRONET, Cracow
• Commercial partners
• LogicDIS S.A., Greece
• Softeco Sismat SpA, Italy

Bratislava
www.kwfgrid.net