Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jhu, Syuan-Ru | en_US |
dc.contributor.author | Fan, Chih-Tien | en_US |
dc.contributor.author | Yuan, Shyan-Ming | en_US |
dc.contributor.author | Chang, Yue-Shan | en_US |
dc.date.accessioned | 2017-04-21T06:48:48Z | - |
dc.date.available | 2017-04-21T06:48:48Z | - |
dc.date.issued | 2015 | en_US |
dc.identifier.isbn | 978-1-5090-1893-2 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1109/SmartCity.2015.187 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/134696 | - |
dc.description.abstract | Workflow 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.iso | en_US | en_US |
dc.subject | Cloud computing | en_US |
dc.subject | Workflow agent | en_US |
dc.subject | Scheduling | en_US |
dc.subject | Deadline-constraint | en_US |
dc.title | Implementing a Workflow Agent on Federated Cloud | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.doi | 10.1109/SmartCity.2015.187 | en_US |
dc.identifier.journal | 2015 IEEE INTERNATIONAL CONFERENCE ON SMART CITY/SOCIALCOM/SUSTAINCOM (SMARTCITY) | en_US |
dc.citation.spage | 915 | en_US |
dc.citation.epage | 920 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000392313100151 | en_US |
dc.citation.woscount | 0 | en_US |
Appears in Collections: | Conferences Paper |