TY - GEN
T1 - Automating environmental computing applications with scientific workflows
AU - Da Silva, Rafael Ferreira
AU - Deelman, Ewa
AU - Filgueira, Rosa
AU - Vahi, Karan
AU - Rynge, Mats
AU - Mayani, Rajiv
AU - Mayer, Benjamin
N1 - Funding Information:
This work was funded by DOE under the contract number #DESC0012636, "Panorama-Predictive Modeling and Diagnostic Monitoring of Extreme Science Workflows"; and by the National Science Foundation under the SI2-SSI program, award number 1148515.
Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/3
Y1 - 2017/3/3
N2 - Computational environmental science applications have evolved and become more complex over the last decade. In order to cope with the needs of such applications, computational methods and technologies have emerged to support the execution of these applications on heterogeneous, distributed systems. Among them are workflow management systems such as Pegasus. Pegasus is being used by researchers to model seismic wave propagation, to discover new celestial objects, to study RNA critical to human brain development, and to investigate other important research questions. This paper provides an introduction to scientific workflows and describes Pegasus and its main features. The paper highlights how the environmental science community has used Pegasus to automate their scientific workflow executions on high performance and high throughput computing systems by presenting three use cases: two Earth science workflows, and a climate science workflow.
AB - Computational environmental science applications have evolved and become more complex over the last decade. In order to cope with the needs of such applications, computational methods and technologies have emerged to support the execution of these applications on heterogeneous, distributed systems. Among them are workflow management systems such as Pegasus. Pegasus is being used by researchers to model seismic wave propagation, to discover new celestial objects, to study RNA critical to human brain development, and to investigate other important research questions. This paper provides an introduction to scientific workflows and describes Pegasus and its main features. The paper highlights how the environmental science community has used Pegasus to automate their scientific workflow executions on high performance and high throughput computing systems by presenting three use cases: two Earth science workflows, and a climate science workflow.
KW - Environmental Computing
KW - Pegasus Workflow Management System
KW - Scientific workflows
UR - http://www.scopus.com/inward/record.url?scp=85016771384&partnerID=8YFLogxK
U2 - 10.1109/eScience.2016.7870926
DO - 10.1109/eScience.2016.7870926
M3 - Conference contribution
AN - SCOPUS:85016771384
T3 - Proceedings of the 2016 IEEE 12th International Conference on e-Science, e-Science 2016
SP - 400
EP - 406
BT - Proceedings of the 2016 IEEE 12th International Conference on e-Science, e-Science 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE International Conference on e-Science, e-Science 2016
Y2 - 23 October 2016 through 27 October 2016
ER -