With the development of many new technologies, the data grows much faster than before, and most of the data are stored in database. When the data amount in database is huge, it is needed to create appropriate index to keep the performance of database applications. This paper proposes a new index structure, namely MCRC-tree, to solve complicated range count query problem efficiently. Multiple experiments show that the performance of MCRC-tree is similar to that of traditional B-tree, to be specific, MCRC-tree can solve any range count query in O(logcN) I/Os, so is the complexity of insert and delete operations, here C means the disk page size, N is the total data amount.
목차
Abstract 1. Introduction 2. Problem Description 3. Preliminary Solution 4. MCRC-tree 4.1. Patch 4.2. Query 4.3. Update 5. Experiments 6. Conclusion and Future Work Acknowledgements References
키워드
indexB-treerange count
저자
Hu Jinglin [ Research Institute of Computer Systems at South China University of Technology South China University of Technology Guangzhou, P.R. CHINA ]
Qi Deyu [ Research Institute of Computer Systems at South China University of Technology South China University of Technology Guangzhou, P.R. CHINA ]
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.8 No.4