High performance computing (HPC) clouds are becoming an alternative to on-premise
clusters for executing scientific applications and business analytics services. Most research …

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

The field of scientific workflow management systems has grown significantly as applications
start using them successfully. In 2007, several active researchers in scientific workflow …

Automation of the execution of computational tasks is at the heart of improving scientific
productivity. Over the last years, scientific workflows have been established as an important …

This work introduces Mashup, a novel strategy to leverage serverless computing model for
executing scientific workflows in a hybrid fashion by taking advantage of both the traditional …

The extraction of useful information from data is often a complex process that can be
conveniently modeled as a data analysis workflow. When very large data sets must be …

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

This work highlights the significance of I/O bottlenecks that data-intensive HPC workflows
face in serverless environments-an issue that has been largely overlooked by prior works …

HPC applications are increasingly being designed as dynamic workflows for the ease of
development and scaling. This work demonstrates how the serverless computing model can …

The use of cloud platforms has been widely encouraged in applications that require a lot of
processing power and storage such as scientific workflows. However, users who operate …