Early Cloud Experiences with the Kepler Scientific Workflow System

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dc.contributor.authorWang, Jianwu
dc.contributor.authorAltintas, Ilkay
dc.date.accessioned2024-02-12T20:06:04Z
dc.date.available2024-02-12T20:06:04Z
dc.date.issued2012-06-02
dc.descriptionInternational Conference on Computational Science, ICCS 2012
dc.description.abstractWith 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.
dc.description.sponsorshipThe authors would like to thank the rest of Kepler and CAMERA teams for their collaboration. This work was supported by NSF SDCI Award OCI-0722079 for Kepler/CORE, NSF ABI Award DBI-1062565 for bioKepler, the Gordon and Betty Moore Foundation award to Calit2 at UCSD for CAMERA and an SDSC Triton Research Opportunities grant. We also thank the AWS in Education Research Grants from Amazon.com, Inc for EC2 usage credit.
dc.description.urihttps://www.sciencedirect.com/science/article/pii/S1877050912003006
dc.format.extent5 pages
dc.genreconference papers and proceedings
dc.identifier.citationWang, 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.
dc.identifier.urihttps://doi.org/10.1016/j.procs.2012.04.179
dc.identifier.urihttp://hdl.handle.net/11603/31602
dc.language.isoen_US
dc.publisherElsevier
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Center for Accelerated Real Time Analysis
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.relation.ispartofUMBC Data Science
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology (JCET)
dc.relation.ispartofUMBC Center for Real-time Distributed Sensing and Autonomy
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0 DEED)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectUMBC Big Data Analytics Lab
dc.titleEarly Cloud Experiences with the Kepler Scientific Workflow System
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-9933-1170

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