earticle

논문검색

Research on Multi-Dimensional Index in Cloud Computing System

초록

영어

Existing works mainly focus on indexes in a single server or server-client structure. Unfortunately, such works fail to provide efficiency since performance bottleneck is introduced. This paper designs a two-layered index structure to prune search space among computing nodes for query processing. The index reduces the number of involved computing nodes while query processing, and improves I/O efficiency inside a single server. The initiation method and maintenance methods are proposed for the index, together with optimization strategies for improving query throuphput. This thesis designs the point query algorithm, the range query algorithm and the kNN query algorithm for cloud systems, including distributed algorithms among computing nodes, and optimization strategies inside a single computing node.

목차

Abstract
 1. Introduction
 2. RTN Index
  2.1. Structure of the System
  2.2. Mapping Mechanism of Global Index
 3. Query Processing
  3.1 Range Query Processing
  3.2 KNN Query Processing
 4. Experiment Design and Discussion
  4.1 Performance of Range Query
  4.2 Performance of KNN query
 5. Conclusion
 References

저자정보

  • Qinghong Liu Jilin Province Economic Management Cadre College, Changchun 130012, China
  • Hongyan Zhang Jilin Province Economic Management Cadre College, Changchun 130012, China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.