Today, the number of data-intensive and compute-intensive applications like business and
scientific workflows has dramatically increased, which made cloud computing more popular …

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

Scripts are widely used to design and run scientific experiments. Scripting languages are
easy to learn and use, and they allow complex tasks to be specified and executed in fewer …

Most of the large-scale scientific experiments modeled as scientific workflows produce a
large amount of data and require workflow parallelism to reduce workflow execution time …

Scientific workflows have emerged as a basic abstraction for structuring and executing
scientific experiments in computational environments. In many situations, these workflows …

In the last years, scientific workflows have emerged as a fundamental abstraction for
structuring and executing scientific experiments in computational environments. 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 …

Numerical simulation, and in particular simulation of the earth system, relies on contributions
from diverse communities, from those who develop models to those involved in devising …

A growing number of data-and compute-intensive experiments have been modeled as
scientific workflows in the last decade. Meanwhile, clouds have emerged as a prominent …

Abstract Machine learning (ML) has already fundamentally changed several businesses.
More recently, it has also been profoundly impacting the computational science and …