Early Cloud Experiences with the Kepler Scientific Workflow System

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https://www.sciencedirect.com/science/article/pii/S1877050912003006

Permanent Link

https://doi.org/10.1016/j.procs.2012.04.179
 http://hdl.handle.net/11603/31602

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UMBC Information Systems Department
UMBC Center for Real-time Distributed Sensing and Autonomy
UMBC Computer Science and Electrical Engineering Department
UMBC Data Science
UMBC Faculty Collection
UMBC Joint Center for Earth Systems Technology (JCET)

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Author/Creator ORCID

https://orcid.org/0000-0002-9933-1170

Date

2012-06-02

Type of Work

conference papers and proceedings
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Citation of Original Publication

Wang, Jianwu, and Ilkay Altintas. “Early Cloud Experiences with the Kepler Scientific Workflow System.” Procedia Computer Science, Proceedings of the International Conference on Computational Science, ICCS 2012, 9 (January 1, 2012): 1630–34. https://doi.org/10.1016/j.procs.2012.04.179.

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Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0 DEED)

Subjects

UMBC Big Data Analytics Lab

Abstract

With the increasing popularity of the Cloud computing, there are more and more requirements for scientific work–flows to utilize Cloud resources. In this paper, we present our preliminary work and experiences on enabling the interaction between the Kepler scientific workflow system and the Amazon Elastic Compute Cloud (EC2). A set of EC2 actors and Kepler Amazon Machine Images are introduced with the discussion on their different usage modes. Through two bioinformatics usecases, we demonstrate the capability of our work for both Cloud resource coordination and workflow execution on virtual Cloud resources.