Context-Aware Scientific Workflow Systems using KEPLER
Data-intensive scientific workflows are often modeled using a dataflow-oriented model. The simplicity of a dataflow model facilitates intuitive workflow design, analysis, and optimization. However, some amount of control-flow modeling is often necessary for engineering fault-tolerant, robust, and adaptive workflows. Modeling the control-flow using inherent dataflow constructs will quickly end up with a workflow that is hard to comprehend, reuse, and maintain. In this paper, we propose a context-aware architecture for scientific workflows. By incorporating contexts within a data-flow oriented scientific workflow system, we enable the development of context-aware scientific workflows without the need to use numerous low-level control-flow actors. This results in a workflow that is aware of its environment during execution with minimal user input and responds intelligently based on such awareness at runtime. A further advantage of our approach is that the defined contexts can be reused and shared across other workflows. We demonstrate our approach with two prototype implementation of context-aware actors in KEPLER.
- Research Organization:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 991994
- Report Number(s):
- PNNL-SA-69085; KJ0403000
- Journal Information:
- International Journal of Business Process Integration and Management, 5(1):18-31, Journal Name: International Journal of Business Process Integration and Management, 5(1):18-31 Journal Issue: 1 Vol. 5
- Country of Publication:
- United States
- Language:
- English
Similar Records
Flexible Scientific Workflow Modeling Using Frames, Templates, and Dynamic Embedding
Structured Composition of Dataflow and Control-Flow for Reusable and Robust Scientific Workflows