Please use this identifier to cite or link to this item: http://dspace.azjhpc.org/xmlui/handle/123456789/28
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dc.contributor.authorKovács, József-
dc.contributor.authorFarkas, Zoltán-
dc.contributor.authorNagy, Enikő-
dc.contributor.authorGúlyás, Bendegúz-
dc.date.accessioned2023-04-28T19:08:14Z-
dc.date.available2023-04-28T19:08:14Z-
dc.date.issued2018-12-
dc.identifier.issn2616-6127-
dc.identifier.issn2617-4383-
dc.identifier.otherhttps://doi.org/10.32010/26166127.2018.1.2.140.157-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/28-
dc.description.abstractA workflow system called Flowbster has been designed to create efficient data pipelines in clouds. The entire Flowbster workflow is dynamically built by using virtual machines on a target cloud. The paper describes a recently designed and developed web-based science gateway to support Flowbster. It provides a high-level graphical environment to handle different levels of abstractions, like workflows representing the layout and deployment representing the infrastructure realizing the workflow. Detailed overview of the user interface, the portal architecture and its internal operation are given in the paper. Moreover, an insight is provided on the selection and cooperation of the web modules and on the integration of the portal in the firebase environment developed by Google.en_US
dc.language.isoenen_US
dc.publisherAzerbaijan Journal of High Performance Computingen_US
dc.subjectworkflowen_US
dc.subjectscience gatewaysen_US
dc.subjectorchestrationen_US
dc.subjectfirebaseen_US
dc.titleCLOUD-BASED FLOWBSTER PORTAL TO DESIGN AND DEPLOY SCIENTIFIC WORKFLOWSen_US
dc.typeArticleen_US
dc.source.journaltitleAzerbaijan Journal of High Performance Computingen_US
dc.source.volume1en_US
dc.source.issue2en_US
dc.source.beginpage140en_US
dc.source.endpage157en_US
dc.source.numberofpages18en_US
Appears in Collections:Azerbaijan Journal of High Performance Computing

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