Abstract

This project addresses the ever-growing gap between the capabilities offered by on-campus and off-campus cyberinfrastructures (CI) and the ability of researchers to effectively harness these capabilities to advance scientific discovery. Faculty and students on campuses struggle to extract knowledge from data that does not fit on their laptops or cannot be processed by an Excel spreadsheet and they find it difficult to efficiently manage their computations. The project sustains and enhances the Pegasus Workflow Management System, which enables scientist to orchestrate and run data-and compute-intensive computations on diverse distributed computational resources. Enhancements focus on the automation capabilities provided by Pegasus to support workflows handling large data sets, as well as usability of Pegasus that lowers the barrier of its adoption. This effort expands the reach of the advanced capabilities …

Date

2017

Authors

Ewa Deelman

Journal

NSF Award Number 1664162. Directorate for Computer and Information Science and Engineering

Volume

16

Issue

1664162

Pages

64162