Mapping patient flow in the Jeanne de Flandres Hospital's operating rooms
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: 2014DOI: 10.1109/ICC.2014.6883859
Keyword(s): cloud computing,n file servers,n quality of service,n scheduling,n cloud computing,n cloud service architectures,n cloud service providers,n h-DDSS architecture,n heterogeneous dynamic dedicated servers scheduling,n inefficient scheduling algorithms,n performance expectations,n quality of service,n Analytical models,n Cloud computing,n Dynamic scheduling,n Resource management,n Scheduling algorithms,n Servers,n Throughput,n Cloud Computing
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Mapping patient flow in the Jeanne de Flandres Hospital's operating rooms
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| contributor author | Ajmi, Ines | |
| contributor author | Gammoudi, Lotfi | |
| contributor author | Carruel, Matthieu | |
| contributor author | Zgaya, Hayfa | |
| contributor author | Hammadi, Slim | |
| contributor author | Renard, Jean-Marie | |
| date accessioned | 2020-03-12T22:21:37Z | |
| date available | 2020-03-12T22:21:37Z | |
| date issued | 2014 | |
| identifier other | 7005054.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1080313 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Mapping patient flow in the Jeanne de Flandres Hospital's operating rooms | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8216697 | |
| subject keywords | cloud computing | |
| subject keywords | n file servers | |
| subject keywords | n quality of service | |
| subject keywords | n scheduling | |
| subject keywords | n cloud computing | |
| subject keywords | n cloud service architectures | |
| subject keywords | n cloud service providers | |
| subject keywords | n h-DDSS architecture | |
| subject keywords | n heterogeneous dynamic dedicated servers scheduling | |
| subject keywords | n inefficient scheduling algorithms | |
| subject keywords | n performance expectations | |
| subject keywords | n quality of service | |
| subject keywords | n Analytical models | |
| subject keywords | n Cloud computing | |
| subject keywords | n Dynamic scheduling | |
| subject keywords | n Resource management | |
| subject keywords | n Scheduling algorithms | |
| subject keywords | n Servers | |
| subject keywords | n Throughput | |
| subject keywords | n Cloud Computing | |
| identifier doi | 10.1109/ICC.2014.6883859 | |
| journal title | merging Technology and Factory Automation (ETFA), 2014 IEEE | |
| filesize | 391122 | |
| citations | 0 |