Ahsan Habib, A. S. M. Latiful Hoque, Muhammad Shahidur Rahman
언어
영어(ENG)
URL
https://www.earticle.net/Article/A207857
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
영어
In this paper we have presented a loss-less compression technique namely H-HIBASE (compression enhancement of HIBASE technique using Huffman Coding). Due to disk based compression, H-HIBASE supports very large database with acceptable storage volume. Insertion, deletion and update mechanisms on the architecture have been presented and analyzed. The architecture executes query directly on compressed data and it is capable of executing all types of SQL queries. The experimental evaluation has been performed with synthetic and real data. The experimental result has been compared with DHIBASE and widely used Oracle database. We have evaluated the storage performance in comparison with DHIBASE and Oracle database. The storage performance that has been achieved in H-HIBASE is 25 to 40 percent better than the Oracle database for real and synthetic data. The query performance that has been achieved in H-HIBASE is 10 to 25 percent better than that of DHIBASE.
목차
Abstract 1. Introduction 1.1. Background 1.2. Objectives 1.3. Research Approach and Methodology 1.4. Storage Complexity 2. H-HIBASE: Implementation 2.1. H-HIBASE Dictionary 2.2. H-HIBASE: Encoding 2.3. Query Operation: Selection 2.4. Query Operation: Insertion 2.5. Query Operation: Deletion 2.6. Query Operation: Update 2.7. Query Operation: Aggregate Function 3. Result and Discussion 3.1. Storage Requirement 3.2. Query Performance 4. Conclusions 4.1. Fundamental Contributions of the Research References
보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
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 Database Theory and Application
간기
격월간
pISSN
2005-4270
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Database Theory and Application Vol.5 No.3