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ICCS
2007
Springer

A Dataflow-Oriented Atomicity and Provenance System for Pipelined Scientific Workflows

11 years 3 months ago
A Dataflow-Oriented Atomicity and Provenance System for Pipelined Scientific Workflows
Scientific workflows have gained great momentum in recent years due to their critical roles in e-Science and cyberinfrastructure applications. However, some tasks of a scientific workflow might fail during execution. A domain scientist might require a region of a scientific workflow to be "atomic". Data provenance, which determines the source data that are used to produce a data item, is also essential to scientific workflows. In this paper, we propose: (i) an architecture for scientific workflow management systems that supports both provenance and atomicity; (ii) a dataflow-oriented atomicity model that supports the notions of commit and abort; and (iii) a dataflow-oriented provenance model that, in addition to supporting existing provenance graphs and queries, also supports queries related to atomicity and failure.
Liqiang Wang, Shiyong Lu, Xubo Fei, Jeffrey L. Ram
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2007
Where ICCS
Authors Liqiang Wang, Shiyong Lu, Xubo Fei, Jeffrey L. Ram
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