Data Intensive Computing
Adaptive Workflow for Data Intensive Environments
Principal Investigator: Alan Chappell
Challenge
To make use of available data and computational resources, researchers and analysts need to build complex applications — problems posed by data intensive environments make that especially challenging.
Workflow
Approach
- User-centered design for creating usable workflow interfaces
- Model-based design for creating effective and maintainable implementations
- Build on evolving workflow industry standard (BPEL) and supporting technologies
Impact
Researchers will be able to compose advanced computational applications for data intensive problems. This will enable more effective and faster analysis of complex problems.
Collaborations
- Workflow users at PNNL (to enhance usability)
- DICI architecture team
Accomplishments
- Functional proof-of-concept
- Interface and system design
- Initial simple implementation based on model-based design and resultant code generation