• DocumentCode
    652357
  • Title

    Big Data Real-Time Processing Based on Storm

  • Author

    Wenjie Yang ; Xingang Liu ; Lan Zhang ; Yang, L.T.

  • Author_Institution
    Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • fDate
    16-18 July 2013
  • Firstpage
    1784
  • Lastpage
    1787
  • Abstract
    As the growth of Internet, Cloud Computing, Mobile Network and Internet of Things is increasing rapidly, Big Data is becoming a hot-spot in recent years. Big Data Processing is involved in our daily life such as mobile devices, RFID and wireless sensors, which aims at dealing with billions of users´ interactive data. At the same time, real-time processing is eagerly needed in integrated system. In this paper, several technologies associated with real-time big data processing are introduced, among which the core technology called Storm is emphasized. An entire system is built based on Storm, associated with RabbitMQ, NoSQL and JSP. To ensure the practical applicability and high efficiency, a simulation system is established and shows acceptable performance in various expressions using data sheet and Ganglia. It is proved that the big data real-time processing based on Storm can be widely used in various computing environment.
  • Keywords
    Big Data; digital simulation; high level languages; Big Data real-time processing; Ganglia; Internet of Things; JSP; NoSQL; RabbitMQ; Storm; cloud computing; data sheet; mobile network; simulation system; Data handling; Data storage systems; Distributed databases; Information management; Real-time systems; Storms; User interfaces; Big Data; real-time processing; Storm; Distributed Computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Trust, Security and Privacy in Computing and Communications (TrustCom), 2013 12th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/TrustCom.2013.247
  • Filename
    6681052