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
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;
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCoS), 2014 International Conference on
Print_ISBN :
978-1-4799-6386-7
DOI :
10.1109/INCoS.2014.23