Acknowledgement
This research was supported by a grant(07KLSGC05) from Cutting-edge Urban Development - Korean Land Spatialization Research Project funded by Ministry of Construction & Transportation of Korean government.
Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)
- 2008.11a
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- Pages.413-416
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- 2008
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
A Multi-Query Optimizing Method for Data Stream Similar Queries on Sliding Window
슬라이딩 윈도에서의 데이터 스팀데이터 유사 질의 처리를 위한 다중질의 최적화 기법
- Liangbo Li (Dept. of Computer Science and Information Engineering, Inha University) ;
- Yan Li (Dept. of Computer Science and Information Engineering, Inha University) ;
- Song-Sun Shin (Dept. of Computer Science and Information Engineering, Inha University) ;
- Dong-Wook Lee (Dept. of Computer Science and Information Engineering, Inha University) ;
- Weon-Il Chung (Dept. of Information Security Engineering, Hoseo University ) ;
- Hae-Young Bae (Dept. of Computer Science and Information Engineering, Inha University)
- 이양파 (인하대학교 정보공학과) ;
- 이연 (인하대학교 정보공학과) ;
- 신숭선 (인하대학교 정보공학과) ;
- 이동욱 (인하대학교 정보공학과) ;
- 정원일 (호서대학교 정보보호학과) ;
- 배해영 (인하대학교 정보공학과)
- Published : 2008.11.14
Abstract
In the presence of multiple continuous queries, multi-query optimizing is a new challenge to process multiple stream data in real-time. So, in this paper, we proposed an approach to optimize multi-query of sliding window on network traffic data streams and do some comparisons to traditional queries without optimizing. We also detail some method of scheduling on different data streams, while different scheduling made different results. We test the results on variety of multi-query processing schedule, and proofed the proposed method is effectively optimized the data stream similar multi-queries.
Keywords