An Efficient Parallel Computing Method for the Processing of Large Sensed Data

In recent years we witness the advent of the Internet of Things and the wide deployment of sensors in many applications for collecting and aggregating data. Efficient techniques are required to analyze these massive data for supporting intelligent decisions making. Partial differential problems whic...

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Veröffentlicht in:	Automatika Jg. 54; H. 4; S. 471 - 482
Hauptverfasser:	Li, Dandan, Ji, Xiaohui, Wang, Qun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Ljubljana Taylor & Francis 01.01.2013 Taylor & Francis Ltd
Schlagworte:	Clusters Computer simulation Data processing Decision analysis Domain decomposition method Domain decomposition methods Finite difference method Groundwater flow Hybrid programming model Internet of Things Mathematical analysis Mathematical models metoda dekompozicije domene metoda konačnog diferenciranja model hibridnog programiranja Multi-core clusters obrada podataka Partial differential equations Three dimensional flow Three dimensional models višejezgreni klasteri
ISSN:	0005-1144, 1848-3380
Online-Zugang:	Volltext
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