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Collaborative e-Science Experiments and Scientific Workflows

Authors:

Luis O. HertzbergerAuthors Info & Claims

IEEE Internet Computing, Volume 15, Issue 4

Pages 39 - 47

https://doi.org/10.1109/MIC.2011.87

Published: 01 July 2011 Publication History

Abstract

Recent advances in Internet and grid technologies have greatly enhanced scientific experiments' life cycle. In addition to compute- and data-intensive tasks, large-scale collaborations involving geographically distributed scientists and e-infrastructure are now possible. Scientific workflows, which encode the logic of experiments, are becoming valuable resources. Sharing these resources and letting scientists worldwide work together on one experiment is essential for promoting knowledge transfer and speeding up the development of scientific experiments. Here, the authors discuss the challenges involved in supporting collaborative e-Science experiments and propose support for different phases of the scientific experimentation life cycle.

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Jandre EDiirr BBraganholo V(2020)Provenance in Collaborative in Silico Scientific ResearchACM SIGMOD Record10.1145/3442322.344232949:2(36-51)Online publication date: 10-Dec-2020
https://dl.acm.org/doi/10.1145/3442322.3442329
Ambrósio LDavid JBraga RStröele VCampos FAraújo MCarver JHong N(2017)Prov-SE-OProceedings of the 12th International Workshop on Software Engineering for Science10.5555/3105494.3105500(15-21)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.5555/3105494.3105500
Carvalho ICampos FBraga RDavid JStroelle VAraújo MNakagawa EOquendo FAvgeriou PSantos R(2017)HEAL MEProceedings of the Joint 5th International Workshop on Software Engineering for Systems-of-Systems and 11th Workshop on Distributed Software Development, Software Ecosystems and Systems-of-Systems10.5555/3103196.3103210(59-65)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.5555/3103196.3103210
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Collaborative e-Science Experiments and Scientific Workflows

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Published In

IEEE Internet Computing Volume 15, Issue 4

July 2011

92 pages

ISSN:1089-7801

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IEEE Educational Activities Department

United States

Publication History

Published: 01 July 2011

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Jandre EDiirr BBraganholo V(2020)Provenance in Collaborative in Silico Scientific ResearchACM SIGMOD Record10.1145/3442322.344232949:2(36-51)Online publication date: 10-Dec-2020
https://dl.acm.org/doi/10.1145/3442322.3442329
Ambrósio LDavid JBraga RStröele VCampos FAraújo MCarver JHong N(2017)Prov-SE-OProceedings of the 12th International Workshop on Software Engineering for Science10.5555/3105494.3105500(15-21)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.5555/3105494.3105500
Carvalho ICampos FBraga RDavid JStroelle VAraújo MNakagawa EOquendo FAvgeriou PSantos R(2017)HEAL MEProceedings of the Joint 5th International Workshop on Software Engineering for Systems-of-Systems and 11th Workshop on Distributed Software Development, Software Ecosystems and Systems-of-Systems10.5555/3103196.3103210(59-65)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.5555/3103196.3103210
Classe TBraga RDavid JCampos FArbex W(2017)A Distributed Infrastructure to Support Scientific ExperimentsJournal of Grid Computing10.1007/s10723-017-9401-715:4(475-500)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1007/s10723-017-9401-7
Balis B(2016)HyperFlowFuture Generation Computer Systems10.1016/j.future.2015.08.01555:C(147-162)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1016/j.future.2015.08.015
Dukhanov ATrofimenko TKarpova MBezborodov LBezgodov ABilyatdinova ALutsenko A(2015)Approach to Automation of Cloud Learning Resources Design for Courses in Computational Science Based on eScience Resources with the Use of the CLAVIRE PlatformProcedia Computer Science10.1016/j.procs.2015.05.46051:C(1957-1966)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1016/j.procs.2015.05.460
Rycerz KBubak MCiepiela EHareżlak DGubała TMeizner JPawlik MWilk B(2015)Composing, execution and sharing of multiscale applicationsFuture Generation Computer Systems10.1016/j.future.2015.06.00253:C(77-87)Online publication date: 1-Dec-2015
https://dl.acm.org/doi/10.1016/j.future.2015.06.002
Rycerz KBubak MCiepiela EPawlik MHoenen OHarăźźLak DWilk BGubała TMeizner JCoster D(2014)Enabling Multiscale Fusion Simulations on Distributed Computing ResourceseScience on Distributed Computing Infrastructure - Volume 850010.1007/978-3-319-10894-0_14(195-210)Online publication date: 1-Jul-2014
https://dl.acm.org/doi/10.1007/978-3-319-10894-0_14
Korkhov VKrefting DKukla TTerstyanszky GCaan MOlabarriaga S(2013)Exploring Workflow Interoperability for Neuroimage Analysis on the SHIWA PlatformJournal of Grid Computing10.1007/s10723-013-9262-711:3(505-522)Online publication date: 1-Sep-2013
https://dl.acm.org/doi/10.1007/s10723-013-9262-7
Baranowski MBelloum ABubak MMalawski M(2012)Constructing workflows from script applicationsScientific Programming10.1155/2012/68363420:4(359-377)Online publication date: 1-Oct-2012
https://dl.acm.org/doi/10.1155/2012/683634
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