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Conference Paper Design of a Scalable Data Stream Channel for Big Data Processing
Cited 8 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Yong-Ju Lee, Myungcheol Lee, Mi-Young Lee, Sung Jin Hur, Okgee Min
Issue Date
2015-07
Citation
International Conference on Advanced Communication Technology (ICACT) 2015, pp.537-540
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICACT.2015.7224857
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.
KSP Keywords
Big Data services, Computing platform, Data Stream Management System(DSMS), Distributed stream computing, big data infrastructure, big data processing, cost-effective, data services(DSs), large-scale, real-time computation