2012년 추계 학술대회
Current Result Document : 17 / 17
| 한글제목(Korean Title) |
실시간 스트림 데이터 처리를 위해 Hadoop 피트니스을 증명 |
| 영문제목(English Title) |
Proving Hadoop Fitness for Real-Time Stream Data Processing |
| 저자(Author) |
무르다니 무하마드 하리스트
홍봉희
권준호
Muhammad Harist Murdani
Bonghee Hong
Joonho Kwon
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| 원문수록처(Citation) |
VOL 39 NO. 2(B) PP. 0067 ~ 0069 (2012. 11) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In recent years the need for scalable stream processing and batch processing are getting bigger and bigger. One of its sources comes from technology advancement of embedded system that has effect on the growing number of sensor devices. The numbers are way so big that it takes more computational power to process the data in real-time. Another stream data source comes from web logs, web click, system console logs, etc. For scalable batch processing, Hadoop is already proven as the large batch processing system with high latency and very high throughput. However, for scalable stream processing, Hadoop can be considered as one of the alternative. We will discuss, in this paper, the fitness and unfitness of Hadoop for processing stream data in real-time.
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