Over the past five years, our activities have both established Kepler as a viable scientific workflow environment and demonstrated its value across multiple science applications. We have published numerous peer-reviewed papers on the technologies highlighted in this short paper and have given Kepler tutorials at SC06,SC07,SC08,and SciDAC 2007. Our outreach activities have allowed scientists to learn best practices and better utilize Kepler to address their individual workflow problems. Our contributions to advancing the state-of-the-art in scientific workflows have focused on the following areas. Progress in each of these areas is described in subsequent sections. Workflow development. The development of a deeper understanding of scientific...
Steps in scientific workflows often generate collections of results, causing the data flowing throug...
Scientific workflow tools allow users to specify complex computational experiments and provide a goo...
Scientific workflows and their supporting systems are becoming increasingly popular for compute-inte...
Many scientific disciplines are now data and information driven, and new scientific knowledge is oft...
AbstractScientific workflow systems are designed to compose and execute either a series of computati...
In order to perform complex scientific data analysis, multiple software and skillsets are generally ...
Our contributions to advancing the state‐of‐the‐art in scientific workflows have f...
AbstractThe growing scale and complexity of cataloguing and analyzing of astronomical data forces sc...
Abstract. The Kepler scientific workflow system enables creation, execution and sharing of work-flow...
Scientific workflows require the coordination of data processing activities, resulting in executions...
AbstractScientific community across many disciplines is exploring new ways to extract knowledge from...
Scientific workflows are typically used to automate the processing, analysis and management of scien...
Workflows have recently emerged as a paradigm for representing and managing complex distributed scie...
International audienceOver the last years, a number of scientific workflow management systems (SciWF...
International audienceThis special issue and our editorial celebrate 10 years of progress with data-...
Steps in scientific workflows often generate collections of results, causing the data flowing throug...
Scientific workflow tools allow users to specify complex computational experiments and provide a goo...
Scientific workflows and their supporting systems are becoming increasingly popular for compute-inte...
Many scientific disciplines are now data and information driven, and new scientific knowledge is oft...
AbstractScientific workflow systems are designed to compose and execute either a series of computati...
In order to perform complex scientific data analysis, multiple software and skillsets are generally ...
Our contributions to advancing the state‐of‐the‐art in scientific workflows have f...
AbstractThe growing scale and complexity of cataloguing and analyzing of astronomical data forces sc...
Abstract. The Kepler scientific workflow system enables creation, execution and sharing of work-flow...
Scientific workflows require the coordination of data processing activities, resulting in executions...
AbstractScientific community across many disciplines is exploring new ways to extract knowledge from...
Scientific workflows are typically used to automate the processing, analysis and management of scien...
Workflows have recently emerged as a paradigm for representing and managing complex distributed scie...
International audienceOver the last years, a number of scientific workflow management systems (SciWF...
International audienceThis special issue and our editorial celebrate 10 years of progress with data-...
Steps in scientific workflows often generate collections of results, causing the data flowing throug...
Scientific workflow tools allow users to specify complex computational experiments and provide a goo...
Scientific workflows and their supporting systems are becoming increasingly popular for compute-inte...