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Conference papers
Scientific Workflow Scheduling with Provenance Support in Multisite Cloud
Abstract : Recently, some Scientific Workflow Management Systems (SWfMSs) with provenance support (e.g. Chiron) have been deployed in the cloud. However, they typically use a single cloud site. In this paper, we consider a multisite cloud, where the data and computing resources are distributed at different sites (possibly in different regions). Based on a multisite architecture of SWfMS, i.e. multisite Chiron, we propose a multisite task scheduling algorithm that considers the time to generate provenance data. We performed an experimental evaluation of our algorithm using Microsoft Azure multisite cloud and two real-life scientific workflows, i.e. Buzz and Montage. The results show that our scheduling algorithm is up to 49.6% better than baseline algorithms in terms of execution time.
Cited literature [15 references]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01342190
Contributor : Patrick Valduriez <>
Submitted on : Tuesday, July 5, 2016 - 2:59:35 PM
Last modification on : Monday, May 18, 2020 - 4:50:33 PM
Document(s) archivé(s) le : Thursday, October 6, 2016 - 1:08:33 PM
Contributor : Patrick Valduriez <>
Submitted on : Tuesday, July 5, 2016 - 2:59:35 PM
Last modification on : Monday, May 18, 2020 - 4:50:33 PM
Document(s) archivé(s) le : Thursday, October 6, 2016 - 1:08:33 PM
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VECPAR.pdf
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