Flexible Scientific Workflow Modeling Using Frames, Templates, and Dynamic Embedding

Authors:
Anne H. Ngu;Shawn Bowers;Nicholas Haasch;Timothy Mcphillips;Terence Critchlow
Affiliations:
Texas State University, San Marcos,;Genome Center, University of California, Davis,;Texas State University, San Marcos,;Genome Center, University of California, Davis,;Pacific Northwest National Laboratory,
Venue:
SSDBM '08 Proceedings of the 20th international conference on Scientific and Statistical Database Management
Year:
2008

Citing 7
Cited 4

Workflow Patterns

Distributed and Parallel Databases
Taverna: a tool for the composition and enactment of bioinformatics workflows

Bioinformatics
Actor-oriented models for codesign: balancing re-use and performance

Formal methods and models for system design
Seven bottlenecks to workflow reuse and repurposing

ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Actor-oriented design of scientific workflows

ER'05 Proceedings of the 24th international conference on Conceptual Modeling
Bringing semantics to web services: the OWL-S approach

SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
Hierarchical finite state machines with multiple concurrency models

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Workflows for metabolic flux analysis: data integration and human interaction

ISoLA'10 Proceedings of the 4th international conference on Leveraging applications of formal methods, verification, and validation - Volume Part I
Dynamic workflow adaptation over adaptive infrastructures

KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Network-aware summarisation for resource discovery in P2P-content networks

Future Generation Computer Systems
Characterizing quality of resilience in scientific workflows

Proceedings of the 6th workshop on Workflows in support of large-scale science

Quantified Score

Hi-index	0.00

Visualization

Abstract

While most scientific workflows systems are based on dataflow, some amount of control-flow modeling is often necessary for engineering fault-tolerant, robust, and adaptive workflows. However, control-flow modeling within dataflow often results in workflow specifications that are hard to comprehend, reuse, and maintain. We describe new modeling constructs to address these issues that provide a structured approach for modeling control-flow within scientific workflows, and discuss their implementation within the Kepler scientific workflow system.