DocumentCode :
1878033
Title :
Design of a scalable data stream channel for big data processing
Author :
Yong-Ju Lee ; Myungcheol Lee ; Mi-Young Lee ; Sung Jin Hur ; Okgee Min
Author_Institution :
Big Data SW Platform Res. Dept., Electron. & Telecommun. Res. Inst., Daejeon, South Korea
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
537
Lastpage :
540
Abstract :
This paper outlines big data infrastructure for processing data streams. Our project is distributed stream computing platform that provides cost-effective and large-scale big data services by developing data stream management system. This research contributes to advancing feasibility of big data processing for distributed, real-time computation even when they are overloaded.
Keywords :
Big Data; distributed processing; Big Data infrastructure; Big Data processing; data stream management system; data stream processing; distributed stream computing platform; scalable data stream channel; Big data; Data models; Ports (Computers); Sparks; Synchronization; Twitter; Big Data Platform; Data Stream Processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology (ICACT), 2015 17th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-8-9968-6504-9
Type :
conf
DOI :
10.1109/ICACT.2015.7224857
Filename :
7224857
Link To Document :
بازگشت