Nowadays, more and more computer-based scientific experiments need to handle massive
amounts of data. Their data processing consists of multiple computational steps and …

Until not long ago, manually capturing and storing provenance from scientific experiments
were constant concerns for scientists. With the advent of computational experiments …

Large‐scale scientific experiments based on computer simulations are typically modeled as
scientific workflows, which eases the chaining of different programs. These scientific …

Scientific workflows are commonly used to model and execute large-scale scientific
experiments. They represent key resources for scientists and are enacted and managed by …

Nowadays, more and more scientific experiments need to handle massive amounts of data.
Their data processing consists of multiple computational steps and dependencies within …

1Scientific Workflow Management Systems manage experiments in large-scale and deliver
provenance data. Provenance data represents the workflow execution behavior, allowing for …

This paper introduces provGen, a generator aimed at producing large synthetic provenance
graphs with predictable properties and of arbitrary size. Synthetic provenance graphs serve …

Scientific experiments modeled as scientific workflows may create, change, or access data
products not explicitly referenced in the workflow specification, leading to implicit data flows …

Scientific workflows are commonly used to model and execute large-scale scientific
experiments. They represent key resources for scientists and are managed by Scientific …

A major issue during scientific workflow execution is how to manage the large volume of
data to be processed. This issue is even more complex in cloud computing where all …