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Distributed Management of Scientific Workflows for High-Throughput Plant Phenotyping

Gaëtan Heidsieck
Bioinformatics [q-bio.QM]. Université Montpellier, 2020. English. ⟨NNT : 2020MONTS066⟩
Theses tel-03089552v2
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Distributed Caching of Scientific Workflows in Multisite Cloud

Gaëtan Heidsieck , Daniel de Oliveira , Esther Pacitti , Christophe Pradal , Francois Tardieu et al.
DEXA 2020 - 31st International Conference on Database and Expert Systems Applications, Sep 2020, Bratislava, Slovakia. pp.51-65, ⟨10.1007/978-3-030-59051-2_4⟩
Conference papers hal-02962579v1
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Distributed Management of Scientific Workflows for High-Throughput Plant Phenotyping

Christophe Pradal , Sarah Cohen-Boulakia , Gaëtan Heidsieck , Esther Pacitti , Francois Tardieu et al.
ERCIM News, 2018, Smart Farming, pp.36-37
Journal articles hal-01948568v1
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Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud

Gaëtan Heidsieck , Daniel de Oliveira , Esther Pacitti , Christophe Pradal , Francois Tardieu et al.
DEXA 2019 - 30th International Conference on Database and Expert Systems Applications, Aug 2019, Linz, Austria. pp.452-466, ⟨10.1007/978-3-030-27618-8_33⟩
Conference papers hal-02174445v1
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Efficient Execution of Scientific Workflows in the Cloud Through Adaptive Caching

Gaëtan Heidsieck , Daniel de Oliveira , Esther Pacitti , Christophe Pradal , Francois Tardieu et al.
Transactions on Large-Scale Data- and Knowledge-Centered Systems, 2020, pp.41-66. ⟨10.1007/978-3-662-62271-1_2⟩
Journal articles hal-02969510v1
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Cache-aware scheduling of scientific workflows in a multisite cloud

Gaëtan Heidsieck , Daniel de Oliveira , Esther Pacitti , Christophe Pradal , Francois Tardieu et al.
Future Generation Computer Systems, 2021, 122, pp.172-186. ⟨10.1016/j.future.2021.03.012⟩
Journal articles hal-03189130v1