TY - JOUR
T1 - Scientific workflow design for mere mortals
AU - McPhillips, Timothy
AU - Bowers, Shawn
AU - Zinn, Daniel
AU - Ludäscher, Bertram
N1 - Funding Information:
This work supported in part through NSF grants IIS-0630033, OCI-0722079, IIS-0612326, DBI-0533368, and DOE grant DE-FC02-01ER25486.
PY - 2009/5
Y1 - 2009/5
N2 - 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.
AB - 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.
KW - Automatic optimization
KW - COMAD
KW - Collection
KW - Desiderata
KW - Provenance
KW - Resilience
KW - Workflow
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U2 - 10.1016/j.future.2008.06.013
DO - 10.1016/j.future.2008.06.013
M3 - Article
AN - SCOPUS:59849087643
SN - 0167-739X
VL - 25
SP - 541
EP - 551
JO - Future Generation Computer Systems
JF - Future Generation Computer Systems
IS - 5
ER -