Scientific Workflow Partitioning in Multi-site Clouds

Abstract : Scientific workflows allow scientists to conduct experiments that manipulate data with multiple computational activities using Scientific Workflow Management Systems (SWfMSs). As the scale of the data increases, SWfMSs need to support workflow execution in High Performance Computing (HPC) environments. Because of various benefits, cloud emerges as an appropriate infrastructure for workflow execution. However, it is difficult to execute some scientific workflows in one cloud site because of geographical distribution of scientists, data and computing resources. Therefore, a scientific workflow often needs to be partitioned and executed in a multisite environment. Also, SWfMSs generally execute a scientific workflow in parallel within one site. This paper proposes a non-intrusive approach to execute scientific workflows in a multisite cloud with three workflow partitioning techniques. We describe an experimental validation using an adaptation of Chiron SWfMS for Microsoft Azure multisite cloud. The experiment results reveal the efficiency of our partitioning techniques, and their superiority in different environments.
Type de document :
Communication dans un congrès
L. Lopes. BigDataCloud'2014: 3rd Workshop on Big Data Management in Clouds in conjunction with Euro-Par 2014, Aug 2014, Porto, Portugal. Springer, Lecture Notes in Computer Science, 8805, pp.105-116, 2014, LNCS. 〈http://www.springer.com/computer/communication+networks/book/978-3-319-14324-8〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01073613
Contributeur : Patrick Valduriez <>
Soumis le : vendredi 10 octobre 2014 - 10:46:48
Dernière modification le : jeudi 24 mai 2018 - 15:59:21

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  • HAL Id : lirmm-01073613, version 1

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Ji Liu, Esther Pacitti, Patrick Valduriez, Vitor Silva Souza, Marta Mattoso. Scientific Workflow Partitioning in Multi-site Clouds. L. Lopes. BigDataCloud'2014: 3rd Workshop on Big Data Management in Clouds in conjunction with Euro-Par 2014, Aug 2014, Porto, Portugal. Springer, Lecture Notes in Computer Science, 8805, pp.105-116, 2014, LNCS. 〈http://www.springer.com/computer/communication+networks/book/978-3-319-14324-8〉. 〈lirmm-01073613〉

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