ICFICE 2016
Current Result Document :
| 한글제목(Korean Title) |
Heavy Hitter Detection in Scalable Stream Processing Engines |
| 영문제목(English Title) |
Heavy Hitter Detection in Scalable Stream Processing Engines |
| 저자(Author) |
Hyeon Gyu Kim
|
| 원문수록처(Citation) |
VOL 08 NO. 01 PP. 0277 ~ 0278 (2016. 06) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Recently, a new class of stream processing engines have emerged which can scale to large number of machines to deal with Internet-scale data in a timely manner. But in many of these systems, window SQL is not fully supported nevertheless of its expressive power. In this paper, we discuss SQL queries to detect heavy hitters over massive packet data, which is one of the important applications in network management, in order to show the convenience of SQL and the necessity of its support.
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| 키워드(Keyword) |
Data streams
Heavy hitter detection
Scalability
Window SQL
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| 파일첨부 |
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