Parallelization of Scientific Workflows in the Cloud

Abstract : Nowadays, more and more scientific experiments need to handle massive amounts of data. Their data processing consists of multiple computational steps and dependencies within them. A data-intensive scientific workflow is an appropriate tool for modeling such process. Since the execution of data-intensive scientific workflows requires large-scale computing and storage resources, a cloud environment, which provides virtually infinite resources is appealing. However, because of the general geographical distribution of scientific groups collaborating in the experiments, multisite management of data-intensive scientific workflows in the cloud is becoming an important problem. This paper presents a general study of the current state of the art of data-intensive scientific workflow execution in the cloud and corresponding multisite management techniques.
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Rapport
[Research Report] RR-8565, INRIA. 2014
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https://hal.inria.fr/hal-01024101
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Soumis le : jeudi 17 juillet 2014 - 17:08:41
Dernière modification le : jeudi 24 mai 2018 - 15:59:21
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  • HAL Id : hal-01024101, version 2

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Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso. Parallelization of Scientific Workflows in the Cloud. [Research Report] RR-8565, INRIA. 2014. 〈hal-01024101v2〉

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