• DocumentCode
    3582912
  • Title

    A real-time stream system based on node.js

  • Author

    Xiao-Feng Gu ; Le Yang ; Shaoquan Wu

  • Author_Institution
    Int. Centre for Wavelet Anal. & Its Applic., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • Firstpage
    479
  • Lastpage
    482
  • Abstract
    In contemporary, the value of data has increasingly been seen. We need to deal with different types of data in different ways. For some data types, their value will be reduced with the passage of time. As a result, when we receive the data, we need to deal with it as soon as possible instead of accumulation. For this point, Map-Reduce is not enough. This article will introduce a Real-Time stream computing system which is based on node.js and focus on real-time data processing, abbreviated as VRSS. In order to transmit data stream, we will use the channel mechanism of redis.
  • Keywords
    data handling; distributed programming; MapReduce; Node.js software; VRSS system; data value; realtime data processing; realtime stream computing system; redis channel mechanism; Browsers; Engines; Google; Message systems; Monitoring; Real-time systems; Servers; Channel; Event loop mechanism; Node.js; Redis; VRSS; vrsscore;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2014 11th International Computer Conference on
  • Print_ISBN
    978-1-4799-7207-4
  • Type

    conf

  • DOI
    10.1109/ICCWAMTIP.2014.7073454
  • Filename
    7073454