• 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