Approaches to Distributed Execution of Scientific Workflows in Kepler

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dc.contributor.authorPłóciennik, Marcin
dc.contributor.authorŻok, Tomasz
dc.contributor.authorAltintas, Ilkay
dc.contributor.authorWang, Jianwu
dc.contributor.authorCrawl, Daniel
dc.contributor.authorAbramson, David
dc.contributor.authorImbeaux, Frederic
dc.contributor.authorGuillerminet, Bernard
dc.contributor.authorLopez-Caniego, Marcos
dc.contributor.authorPlasencia, Isabel Campos
dc.contributor.authorPych, Wojciech
dc.contributor.authorCiecieląg, Pawel
dc.contributor.authorPalak, Bartek
dc.contributor.authorOwsiak, Michał
dc.contributor.authorFrauel, Yann
dc.contributor.authorITM-TF Contributors
dc.date.accessioned2024-02-14T21:02:59Z
dc.date.available2024-02-14T21:02:59Z
dc.date.issued2013
dc.description.abstractThe Kepler scientific workflow system enables creation, execution and sharing of workflows across a broad range of scientific and engineering disciplines while also facilitating remote and distributed execution of workflows. In this paper, we present and compare different approaches to distributed execution of workflows using the Kepler environment, including a distributed data-parallel framework using Hadoop and Stratosphere, and Cloud and Grid execution using Serpens, Nimrod/K and Globus actors. We also present real-life applications in computational chemistry, bioinformatics and computational physics to demonstrate the usage of different distributed computing capabilities of Kepler in executable workflows. We further analyze the differences of each approach and provide a guidance for their applications.
dc.description.sponsorshipThe research leading to these results has received funding from different projects and funding schema, including: the European Community’s Seventh Framework Programme under grant agreement RI-261323 (EGI-InsPIRE), the European Communities under the contracts of Association between EURATOM and CEA, IPPLM, carried out within the framework of the Task Force on Integrated Tokamak Modeling of the EFDA, the Polish project PLGrid Plus under the contract POIG 02.03.00-00-096/10, NSF ABI Award DBI-1062565 for bioKepler, partial financial support from the Spanish Ministerio de Economia y Competitividad AYA 2010-21766-C03-01 and Consolider Ingenio 2010 CSD2010-00064 projects, and from the Juan de la Cierva programme.
dc.description.urihttps://content.iospress.com/articles/fundamenta-informaticae/fi128-3-03
dc.format.extent22 pages
dc.genrejournal articles
dc.genrepreprints
dc.identifierdoi:10.13016/m2gqyl-nmra
dc.identifier.citationPłóciennik, Marcin, Tomasz Żok, Ilkay Altintas, Jianwu Wang, Daniel Crawl, David Abramson, Frederic Imbeaux, et al. “Approaches to Distributed Execution of Scientific Workflows in Kepler.” Fundamenta Informaticae 128, no. 3 (January 1, 2013): 281–302. https://doi.org/10.3233/FI-2013-947.
dc.identifier.urihttps://doi.org/10.3233/FI-2013-947
dc.identifier.urihttp://hdl.handle.net/11603/31628
dc.language.isoen_US
dc.publisherIOS Press
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.rights© [Płóciennik, Marcin; Żok, Tomasz; Altintas, Ilkay; Wang, Jianwu; Crawl, Daniel; Abramson, David; Imbeaux, Frederic; Guillerminet, Bernard; Lopez-Caniego, Marcos; Plasencia, Isabel Campos; Pych, Wojciech; Ciecieląg, Pawel; Palak, Bartek; Owsiak, Michał; Frauel, Yann, 2013 ]. The definitive, peer reviewed and edited version of this article is published in Fundamenta Informaticae, vol. 128, no. 3, pp. 281-302, 2013, https://doi.org/10.3233/FI-2013-947.
dc.subjectUMBC Big Data Analytics Lab
dc.titleApproaches to Distributed Execution of Scientific Workflows in Kepler
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-9933-1170

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