Automating environmental computing applications with scientific workflows

Rafael Ferreira Da Silva, Ewa Deelman, Rosa Filgueira, Karan Vahi, Mats Rynge, Rajiv Mayani, Benjamin Mayer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2016 IEEE 12th International Conference on e-Science (e-Science)
PublisherIEEE
Pages400-406
Number of pages7
ISBN (Electronic)9781509042739
DOIs
Publication statusPublished - 6 Mar 2017
Event12th IEEE International Conference on e-Science 2016 - Baltimore, United States
Duration: 23 Oct 201627 Oct 2016

Conference

Conference12th IEEE International Conference on e-Science 2016
Abbreviated titlee-Science 2016
CountryUnited States
CityBaltimore
Period23/10/1627/10/16

Keywords

  • Environmental Computing
  • Pegasus Workflow Management System
  • Scientific workflows

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Environmental Science (miscellaneous)
  • Medicine (miscellaneous)
  • Social Sciences (miscellaneous)
  • Agricultural and Biological Sciences (miscellaneous)
  • Computer Science Applications

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