A Dataflow-Oriented Atomicity and Provenance System for Pipelined Scientific Workflows
Identifieur interne : 001014 ( Main/Merge ); précédent : 001013; suivant : 001015A Dataflow-Oriented Atomicity and Provenance System for Pipelined Scientific Workflows
Auteurs : Liqiang Wang [États-Unis] ; Shiyong Lu [États-Unis] ; Xubo Fei [États-Unis] ; Jeffrey Ram [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: 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.
Url:
DOI: 10.1007/978-3-540-72588-6_42
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