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
Link To Document :
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