Earticle

현재 위치 Home

The Research and Implementation of Temporal Quasi-order Data Index

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJMUE) 바로가기
  • 간행물
    International Journal of Multimedia and Ubiquitous Engineering SCOPUS 바로가기
  • 통권
    Vol.10 No.1 (2015.01)바로가기
  • 페이지
    pp.71-88
  • 저자
    Xiuqin Deng, Hongyan Xing, Chengyan Fang, Xiaoping Ye
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A239273

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

원문정보

초록

영어
This study proposed a quasi-order-based temporal data structure (QOTDS) which differed from conventional, algebraic data management models. Based on this QOTDS, a temporal data index called the temporal quasi-order index (TQOindex) was established. Firstly, the study proposed the concepts of temporal quasi-order (TQO) and linear order partitioning (LOP) of time period sets and discussed the construction algorithm of LOP and the optimum (minimum) properties. On this basis, a temporal data structure was established based on LOP. This structure realized the set-at-a-time data operation-like relational data structure and improved the inquiry efficiency by using multiple threads. Subsequently, in the structural framework of TQO, we discussed the temporal data index (TQOindex) based on quasi-order extensions. This index was effectively applicable to various conventional database platforms depending on the disk (external memory)-based data management and also to big data dynamic index technology relying on the incremental updating mechanism. Finally, a corresponding experimental simulation and comparative evaluation were designed to verify the feasibility and effectiveness of TQOindex. Research and experiments showed that QOTDS were effective at temporal inquiry and management in cases involving the temporal processing and integration mechanisms in new data, such as semantic data, XML data, and moving object data.

목차

Abstract
 1. Introduction
 2. Data Structure of Quasi-order
  2.1. LOB and LOP
  2.2. Dynamic Management of LOP
 3. The Data Index TQOindex
  3.1. Temporal Quasi-order Index Tree
  3.2. Data manipulation
 4. Data Simulation and Evaluation
  4.1. Data Query
  4.2. Data Updating
  4.3. Temporal Relational Data Query
 5. Conclusions
 Acknowledgements
 References

키워드

QOTDS TQOindex linear order partitioning incremental updating simulation and evaluation

저자

  • Xiuqin Deng [ School of Applied Mathematics, Guangdong University of Technology, Guangzhou, P.R. China ] Corresponding author
  • Hongyan Xing [ School of Applied Mathematics, Guangdong University of Technology, Guangzhou, P.R. China ] Corresponding author,
  • Xiaoping Ye [ School of Computer Science, South China Normal University, Guangzhou, P.R. China ]
  • Chengyan Fang [ School of Applied Mathematics, Guangdong University of Technology, Guangzhou, P.R. China ]

참고문헌

자료제공 : 네이버학술정보

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.10 No.1

    피인용수 : 0(자료제공 : 네이버학술정보)

    함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.

      페이지 저장