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

This special issue and our editorial celebrate 10 years of progress with data-intensive or
scientific workflows. There have been very substantial advances in the representation of …

Abstract Service-oriented architecture (SOA), workflow, the Semantic Web, and Grid
computing are key enabling information technologies in the development of increasingly …

Computational workflows describe the complex multi-step methods that are used for data
collection, data preparation, analytics, predictive modelling, and simulation that lead to new …

The landscape of workflow systems for scientific applications is notoriously convoluted with
hundreds of seemingly equivalent workflow systems, many isolated research claims, and a …

The concept of workflows was implemented to mitigate the complexities involved in tasks
related to scientific computing and business analytics. With time, they have found …

This paper presents a continuous delivery/continuous verifiability (CD/CV) method for IoT
dataflows in edge–fog–cloud. A CD model based on extraction, transformation, and load …

This paper presents HyperFlow: a model of computation, programming approach and
enactment engine for scientific workflows. Workflow programming in HyperFlow combines a …

Smartphone-based assessments have been considered a potential solution to passively
monitor gait and mobility in early-stage Parkinson's disease (PD) patients. In the Multiple …

Workflows may be defined as abstractions used to model the coherent flow of activities in the
context of an in silico scientific experiment. They are employed in many domains of science …