A Survey of Data-Intensive Scientific Workflow Management - INRIA - Institut National de Recherche en Informatique et en Automatique Accéder directement au contenu
Article Dans Une Revue Journal of Grid Computing Année : 2015

A Survey of Data-Intensive Scientific Workflow Management

Résumé

Nowadays, more and more computer-based 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 useful for modeling such process. Since the sequential execution of data-intensive scientific workflows may take much time, Scientific Workflow Management Systems (SWfMSs) should enable the parallel execution of data-intensive scientific workflows and exploit the resources distributed in different infrastructures such as grid and cloud. This paper provides a survey of data-intensive scientific workflow management in SWfMSs and their parallelization techniques. Based on a SWfMS functional architecture, we give a comparative analysis of the existing solutions. Finally, we identify research issues for improving the execution of data-intensive scientific workflows in a multisite cloud.
Fichier principal
Vignette du fichier
jogc2015.pdf (2.96 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

lirmm-01144760 , version 1 (21-07-2019)

Identifiants

Citer

Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso. A Survey of Data-Intensive Scientific Workflow Management. Journal of Grid Computing, 2015, 13 (4), pp.457-493. ⟨10.1007/s10723-015-9329-8⟩. ⟨lirmm-01144760⟩
647 Consultations
1049 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More