Abstract

There has been a recent emergence of new workflow applications focused on data analytics and machine learning. This emergence has precipitated a change in the workflow management landscape, causing the development of new dataoriented workflow management systems (WMSs) in addition to the earlier standard of task-oriented WMSs. In this paper, we summarize three general workflow use-cases and explore the unique requirements of each use-case in order to understand how WMSs from both workflow management models meet the requirements of each workflow use-case from the user’s perspective. We analyze the applicability of the two models by carefully describing each model and by providing an examination of the different variations of WMSs that fall under the task driven model. To illustrate the strengths and weaknesses of each workflow management model, we summarize the key features of …

Date

December 9, 2019

Authors

Ryan Mitchell, Loїc Pottier, Steve Jacobs, Rafael Ferreira da Silva, Mats Rynge, Karan Vahi, Ewa Deelman

Conference

2019 IEEE International Conference on Big Data (Big Data)

Pages

4537-4544

Publisher

IEEE