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dc.contributor.authorJhu, Syuan-Ruen_US
dc.contributor.authorFan, Chih-Tienen_US
dc.contributor.authorYuan, Shyan-Mingen_US
dc.contributor.authorChang, Yue-Shanen_US
dc.date.accessioned2017-04-21T06:48:48Z-
dc.date.available2017-04-21T06:48:48Z-
dc.date.issued2015en_US
dc.identifier.isbn978-1-5090-1893-2en_US
dc.identifier.urihttp://dx.doi.org/10.1109/SmartCity.2015.187en_US
dc.identifier.urihttp://hdl.handle.net/11536/134696-
dc.description.abstractWorkflow scheduling is the way to schedule the complex scientific workflow. In a cloud platform, the resources can be utilized more effectively and efficiently by scheduling the workflow properly. In this paper, an agent-based workflow scheduling mechanism on cloud environment is proposed. We implement a set of agents that can federate multiple clouds and automatically monitor the entire system, and manage the job if it\'s a workflow job. We also implement a dynamic job dispatching algorithm to reduce the VM usage amount and improve the resource utilization.en_US
dc.language.isoen_USen_US
dc.subjectCloud computingen_US
dc.subjectWorkflow agenten_US
dc.subjectSchedulingen_US
dc.subjectDeadline-constrainten_US
dc.titleImplementing a Workflow Agent on Federated Clouden_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/SmartCity.2015.187en_US
dc.identifier.journal2015 IEEE INTERNATIONAL CONFERENCE ON SMART CITY/SOCIALCOM/SUSTAINCOM (SMARTCITY)en_US
dc.citation.spage915en_US
dc.citation.epage920en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000392313100151en_US
dc.citation.woscount0en_US
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