Memorias de investigación
Ponencias en congresos:
Workflow Reuse in Practice: A Study of Neuroimaging Pipeline Users
Año:2014
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Workflow reuse is a major benefit of workflow systems and shared workflow repositories, but there are barely any studies that quantify the degree of reuse of workflows or the practical barriers that may stand in the way of successful reuse. In our own work, we hypothesize that defining workflow fragments improves reuse, since end-to-end workflows may be very specific and only partially reusable by others. This paper reports on a study of the current use of workflows and workflow fragments in labs that use the LONI Pipeline, a popular workflow system used mainly for neuroimaging research that enables users to define and reuse workflow fragments. We present an overview of the benefits of workflows and workflow fragments reported by users in informal discussions. We also report on a survey of researchers in a lab that has the LONI Pipeline installed, asking them about their experiences with reuse of workflow fragments and the actual benefits they perceive. This leads to quantifiable indicators of the reuse of workflows and workflow fragments in practice. Finally, we discuss barriers to further adoption of workflow fragments and workflow reuse that motivate further work.
Internacional
Si
Nombre congreso
10th IEEE International Conference on e-Science (e-Science 2014)
Tipo de participación
960
Lugar del congreso
Sao Paulo, Brasil
Revisores
Si
ISBN o ISSN
978-1-4799-4288-6
DOI
10.1109/eScience.2014.33
Fecha inicio congreso
20/10/2014
Fecha fin congreso
24/10/2014
Desde la página
239
Hasta la página
246
Título de las actas
2014 IEEE 10th International Conference on e-Science (e-Science). Proceedings, vol 1
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial