Parallelization of Scientific Workflows in the Cloud - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Reports (Research Report) Year : 2014

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.
Fichier principal
Vignette du fichier
RR-8565.pdf (1.21 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01024101 , version 1 (15-07-2014)
hal-01024101 , version 2 (17-07-2014)

Identifiers

  • HAL Id : hal-01024101 , version 2

Cite

Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso. Parallelization of Scientific Workflows in the Cloud. [Research Report] RR-8565, INRIA. 2014. ⟨hal-01024101v2⟩
791 View
1096 Download

Share

Gmail Facebook X LinkedIn More