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학술대회 Design of a Scalable Data Stream Channel for Big Data Processing
Cited 7 time in scopus Download 2 time Share share facebook twitter linkedin kakaostory
저자
이용주, 이명철, 이미영, 허성진, 민옥기
발행일
201507
출처
International Conference on Advanced Communication Technology (ICACT) 2015, pp.537-540
DOI
https://dx.doi.org/10.1109/ICACT.2015.7224857
협약과제
15MS5300, (ICBMS-1세부) CoT(Cloud of Things) 환경에서 실시간 반응성 향상을 위한 계층적 데이터 스트림 분석 SW 기술 개발, 민옥기
초록
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.
키워드
Big Data Platform, Data Stream Processing
KSP 제안 키워드
Big Data Infrastructure, Big Data Processing, Big Data services, Big data platform, Computing platform, Data Stream Management System(DSMS), Data Stream Processing, Distributed stream computing, cost-effective, data services(DSs), large-scale