Add to ORKGAbstract: This paper discusses technical aspects of how business workflow management systems can be improved in order to apply them in the field of scientific workflows and reap all their benefits. We give recommendations how to address the discovered gaps in support for scientific applications. The approach we follow addresses the requirements of scientists and scientific applications, which we also identify in this work.
Computational scientists are running increasingly complex, data-intensive simulations and analyses. ...
A simple yet powerful programming tool enabling in silico experimentation, end-to-end data managemen...
In recent years, a number of scientific workflow management systems (SWFMSs) have been developed to ...
This paper discusses technical aspects of how business workflow management systems can be improved i...
Workflow technologies are emerging as the dominant approach to coordinate groups of distributed serv...
International audienceThis special issue and our editorial celebrate 10 years of progress with data-...
The wide availability of high-performance computing systems, Grids and Clouds, allowed scientists an...
Scientific workflows require the coordination of data processing activities, resulting in executions...
Modern scientific collaborations have opened up the opportunity to solve complex problems that requi...
Workflows have recently emerged as a paradigm for representing and managing complex distributed scie...
Workflows have been used traditionally as a mean to describe and implement the computing usually par...
Scientific workflow systems have become a necessary tool for many applications, enabling the composi...
Automation of the execution of computational tasks is at the heart of improving scientific productiv...
Scientific workflows are a cornerstone of modern scientific computing, and they have underpinned som...
In the field of computational science and engineering, workflows often entail the application of var...
Computational scientists are running increasingly complex, data-intensive simulations and analyses. ...
A simple yet powerful programming tool enabling in silico experimentation, end-to-end data managemen...
In recent years, a number of scientific workflow management systems (SWFMSs) have been developed to ...
This paper discusses technical aspects of how business workflow management systems can be improved i...
Workflow technologies are emerging as the dominant approach to coordinate groups of distributed serv...
International audienceThis special issue and our editorial celebrate 10 years of progress with data-...
The wide availability of high-performance computing systems, Grids and Clouds, allowed scientists an...
Scientific workflows require the coordination of data processing activities, resulting in executions...
Modern scientific collaborations have opened up the opportunity to solve complex problems that requi...
Workflows have recently emerged as a paradigm for representing and managing complex distributed scie...
Workflows have been used traditionally as a mean to describe and implement the computing usually par...
Scientific workflow systems have become a necessary tool for many applications, enabling the composi...
Automation of the execution of computational tasks is at the heart of improving scientific productiv...
Scientific workflows are a cornerstone of modern scientific computing, and they have underpinned som...
In the field of computational science and engineering, workflows often entail the application of var...
Computational scientists are running increasingly complex, data-intensive simulations and analyses. ...
A simple yet powerful programming tool enabling in silico experimentation, end-to-end data managemen...
In recent years, a number of scientific workflow management systems (SWFMSs) have been developed to ...