Network recourses (NOW) to remove the work load for Deriving rule for Semantic Query Optimization and Speed up answering queries
-
- 발행기관
- 보안공학연구지원센터(IJMUE) 바로가기
-
- 간행물
- International Journal of Multimedia and Ubiquitous Engineering SCOPUS 바로가기
-
- 통권
- Vol.4 No.2 (2009.04)바로가기
-
- 페이지
- pp.125-143
-
- 저자
-
- 언어
- 영어(ENG)
-
- URL
- https://www.earticle.net/Article/A106008
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- The rapid growth in the size of databases and the advances made in Query Languages has resulted in increased SQL query complexity submitted by users, which in turn slows down the speed of information retrieval from the database. The future of high performance database systems lies in parallelism. Commercial vendors’ database systems have introduced solutions but these have proved to be extremely expensive. This paper invistagete how networked resources such as workstations can be utilised by using Parallel Virtual Machine (PVM) to Optimise Database Query Execution. An investigation and experiments of the scalability of the PVM are conducted. PVM is used to implement parallelism in two separate ways: (i) Remove the work load for deriving and maintaining rules from the data server for Semantic Query Optimisation, therefore clears the way for more widespread use of SQO in databases [1,2]. (ii) Answer users queries by a proposed Parallel Query Algorithm PQA which works over a network of workstations, coupled with a sequential Database Management System DBMS called PostgreSql on the prototype called Expandable Server Architecture ESA [1,2,3,4]. Experiments have been conducted to tackle the problems of Parallel and Distributed systems such as task scheduling, load balance and fault tolerance.
목차
Abstract
1. Introduction
2. Environment and tools of the project
2.1. PVM scalability
3. Obstacle in Semantic Query Optimization approach
3.1. Sorting Data Subsets for Rulesset Derivation and Maintenance
3.2. Scan Bucket Algorithm to Derive Rules for SQO
3.3. Measuring the algorithms Performance
3.4. Consistency of the Rules
4. Network Resources for Answering Query
4.1. Expandable Server Architecture ESA
4.2. Parallel Query Algorithm PQA
4.3. Parallel Query Algorithm Components.
4.4. Dynamic Load Scheduling.
4.5. Data Placement.
5. Performance Evaluation for PQA on ESA: –on general purposeworkstation and on dedicated workstations
6. Conclusion
References
저자
간행물 정보
발행기관
-
- 발행기관명
- 보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
- 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 Multimedia and Ubiquitous Engineering
- 간기
- 월간
- pISSN
- 1975-0080
- 수록기간
- 2008~2016
- 등재여부
- SCOPUS
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.4 No.2
피인용수 : 0건 (자료제공 : 네이버학술정보)
함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.
0개의 논문이 장바구니에 담겼습니다.