DocumentCode
3575448
Title
Big Data Processing for Pervasive Environment in Cloud Computing
Author
Amato, Alba ; Di Martino, Beniamino ; Venticinque, Salvatore
Author_Institution
Dept. of Ind. & Inf. Eng., Second Univ. of Naples, Aversa, Italy
fYear
2014
Firstpage
598
Lastpage
603
Abstract
The Internet of Things (IoT) has given rise to new types of data, emerging for instance from the collection of sensor data and the control of actuators. The explosion of devices that have automated and perhaps improved the lives of all of us has generated a huge mass of information that will continue to grow exponentially. For this reason the need to store, manage, and treat the ever increasing amounts of data that comes via the Internet of Things has become urgent. In this context, Big Data becomes immensely important, making possible to turn into this amount of data in information, knowledge, and, ultimately, wisdom. This paper aims at analyze Big Data challenges and requirements coming from different Smart City applications providing an original solution that uses Big Data technologies for redesigning an IoT context aware application for the exploitation of pervasive environment addressing problems and discussing the important aspects of the selected solution.
Keywords
Big Data; Internet of Things; cloud computing; Internet of Things; IoT context aware application; big data processing; cloud computing; pervasive environment; smart city; Big data; Context; Context-aware services; Data models; Ontologies; Resource description framework; Semantics; Big Data; Cloud Computing; Pervasive Environment;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networking and Collaborative Systems (INCoS), 2014 International Conference on
Print_ISBN
978-1-4799-6386-7
Type
conf
DOI
10.1109/INCoS.2014.23
Filename
7057156
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