Abstract

Scientific workflows are a cornerstone of modern scientific computing. They are used to describe complex computational applications that require efficient and robust management of large volumes of data, which are typically stored/processed on heterogeneous, distributed resources. The workflow research and development community has employed a number of methods for the quantitative evaluation of existing and novel workflow algorithms and systems. In particular, a common approach is to simulate workflow executions. In previous works, we have presented a collection of tools that have been adopted by the community for conducting workflow research. Despite their popularity, they suffer from several shortcomings that prevent easy adoption, maintenance, and consistency with the evolving structures and computational requirements of production workflows. In this work, we present WfCommons , a framework …

Date

March 1, 2022

Authors

Tainã Coleman, Henri Casanova, Loïc Pottier, Manav Kaushik, Ewa Deelman, Rafael Ferreira da Silva

Journal

Future generation computer systems

Volume

128

Pages

16-27

Publisher

North-Holland