XML-based computation for scientific workflows

Daniel Zinn, Shawn Bowers, Bertram Ludaescher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Scientific workflows are increasingly used to rapidly integrate existing algorithms to create larger and more complex programs. However, designing workflows using purely dataflow-oriented computation models introduces a number of challenges, including the need to use low-level components to mediate and transform data (so-called shims) and large numbers of additional "wires" for routing data to components within a workflow. To address these problems, we employ Virtual Data Assembly Lines (VDAL), a modeling paradigm that can eliminate most shims and reduce wiring complexity. We show how a VDAL design can be implemented using existing XML technologies and how static analysis can provide significant help to scientists during workflow design and evolution, e.g., by displaying actor dependencies or by detecting so-called unproductive actors.

Original languageEnglish (US)
Title of host publication26th IEEE International Conference on Data Engineering, ICDE 2010 - Conference Proceedings
Pages812-815
Number of pages4
DOIs
StatePublished - Jun 1 2010
Externally publishedYes
Event26th IEEE International Conference on Data Engineering, ICDE 2010 - Long Beach, CA, United States
Duration: Mar 1 2010Mar 6 2010

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other26th IEEE International Conference on Data Engineering, ICDE 2010
CountryUnited States
CityLong Beach, CA
Period3/1/103/6/10

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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