Improving the response time analysis of global fixed-priority multiprocessor scheduling
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: 2014DOI: 10.1109/LCN.2014.6925823
Keyword(s): behavioural sciences computing,human factors,learning (artificial intelligence),social networking (online),user modelling,PageRank based method,Sina Weibo,influence transfer effect,information spreading model,local region users,machine learning method,online social networks,regional user interaction model,user behavior analysis,user interaction modeling,zombie user identification,Analytical models,Data models,Educational institutions,Laboratories,Learning systems,Twitter,On
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Improving the response time analysis of global fixed-priority multiprocessor scheduling
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| contributor author | Youcheng Sun , Lipari, G. , Nan Guan , Wang Yi | |
| date accessioned | 2020-03-12T20:52:07Z | |
| date available | 2020-03-12T20:52:07Z | |
| date issued | 2014 | |
| identifier other | 6910543.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1028468?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Improving the response time analysis of global fixed-priority multiprocessor scheduling | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8153636 | |
| subject keywords | behavioural sciences computing | |
| subject keywords | human factors | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | social networking (online) | |
| subject keywords | user modelling | |
| subject keywords | PageRank based method | |
| subject keywords | Sina Weibo | |
| subject keywords | influence transfer effect | |
| subject keywords | information spreading model | |
| subject keywords | local region users | |
| subject keywords | machine learning method | |
| subject keywords | online social networks | |
| subject keywords | regional user interaction model | |
| subject keywords | user behavior analysis | |
| subject keywords | user interaction modeling | |
| subject keywords | zombie user identification | |
| subject keywords | Analytical models | |
| subject keywords | Data models | |
| subject keywords | Educational institutions | |
| subject keywords | Laboratories | |
| subject keywords | Learning systems | |
| subject keywords | ||
| subject keywords | On | |
| identifier doi | 10.1109/LCN.2014.6925823 | |
| journal title | mbedded and Real-Time Computing Systems and Applications (RTCSA), 2014 IEEE 20th International Confe | |
| filesize | 637399 | |
| citations | 0 |