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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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Submitted on : Thursday, July 17, 2014 - 5:08:41 PM
Last modification on : Friday, November 18, 2022 - 9:24:11 AM
Long-term archiving on: : Monday, November 24, 2014 - 7:05:24 PM


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  • HAL Id : hal-01024101, version 2


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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