Citation
Timothy McPhillips, Shawn Bowers, Daniel Zinn, Bertram Ludaescher. "Scientific Workflow Design for Mere Mortals". Future Generation Computer Systems, 25(5):541-551, May 2009.

Abstract
Recent years have seen a dramatic increase in research and development of scientific workflow systems. These systems promise to make scientists more productive by automating data-driven and compute-intensive analyses. Despite many early achievements, the long-term success of scientific workflow technology critically depends on making these systems useable by “mere mortals”, i.e., scientists who have a very good idea of the analysis methods they wish to assemble, but who are neither software developers nor scripting-language experts. With these users in mind, we identify a set of desiderata for scientific workflow systems crucial for enabling scientists to model and design the workflows they wish to automate themselves. As a first step towards meeting these requirements, we also show how the collection-oriented modeling and design (comad) approach for scientific workflows, implemented within the Kepler system, can help provide these critical, design-oriented capabilities to scientists.

Keywords: Workflow; Collection; COMAD; Resilience; Desiderata; Provenance; Automatic optimization

Electronic downloads

• http://dx.doi.org/10.1016/j.future.2008.06.013

• HTML

  Timothy McPhillips, Shawn Bowers, Daniel Zinn, Bertram
  Ludaescher. <a
  href="http://chess.eecs.berkeley.edu/pubs/534.html"
  >Scientific Workflow Design for Mere Mortals</a>,
  <i>Future Generation Computer Systems</i>,
  25(5):541-551, May 2009.

• Plain text

  Timothy McPhillips, Shawn Bowers, Daniel Zinn, Bertram
  Ludaescher. "Scientific Workflow Design for Mere
  Mortals". <i>Future Generation Computer
  Systems</i>, 25(5):541-551, May 2009.

• BibTeX

  @article{McPhillipsBowersZinnLudaescher09_ScientificWorkflowDesignForMereMortals,
      author = {Timothy McPhillips and Shawn Bowers and Daniel
                Zinn and Bertram Ludaescher},
      title = {Scientific Workflow Design for Mere Mortals},
      journal = {Future Generation Computer Systems},
      volume = {25},
      number = {5},
      pages = {541-551},
      month = {May},
      year = {2009},
      abstract = {Recent years have seen a dramatic increase in
                research and development of scientific workflow
                systems. These systems promise to make scientists
                more productive by automating data-driven and
                compute-intensive analyses. Despite many early
                achievements, the long-term success of scientific
                workflow technology critically depends on making
                these systems useable by �mere mortals�, i.e.,
                scientists who have a very good idea of the
                analysis methods they wish to assemble, but who
                are neither software developers nor
                scripting-language experts. With these users in
                mind, we identify a set of desiderata for
                scientific workflow systems crucial for enabling
                scientists to model and design the workflows they
                wish to automate themselves. As a first step
                towards meeting these requirements, we also show
                how the collection-oriented modeling and design
                (comad) approach for scientific workflows,
                implemented within the Kepler system, can help
                provide these critical, design-oriented
                capabilities to scientists. <p>Keywords: Workflow;
                Collection; COMAD; Resilience; Desiderata;
                Provenance; Automatic optimization },
      URL = {http://chess.eecs.berkeley.edu/pubs/534.html}
  }
  

Posted by Christopher Brooks on 26 Feb 2009.
Groups: ptolemy
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