• Title, Summary, Keyword: KDB-트리

Search Result 8, Processing Time 0.06 seconds

Bit-Vector-Based Space Partitioning Indexing Scheme for Improving Node Utilization and Information Retrieval (노드 이용률과 검색 속도 개선을 위한 비트 벡터 기반 공간 분할 색인 기법)

  • Yeo, Myung-Ho;Seong, Dong-Ook;Yoo, Jae-Soo
    • Journal of KIISE:Computing Practices and Letters
    • /
    • v.16 no.7
    • /
    • pp.799-803
    • /
    • 2010
  • The KDB-tree is a traditional indexing scheme for retrieving multidimensional data. Much research for KDB-tree family frequently addresses the low storage utilization and insufficient retrieval performance as their two bottlenecks. The bottlenecks occur due to a number of unnecessary splits caused by data insertion orders and data skewness. In this paper, we propose a novel index structure, called as $KDB_{CS}^+$-tree, to process skewed data efficiently and improve the retrieval performance. The $KDB_{CS}^+$-tree increases the number of fan-outs by exploiting bit-vectors for representing splitting information and pointer elimination. It also improves the storage utilization by representing entries as a hierarchical structure in each internal node.

KDBcs-Tree : An Efficient Cache Conscious KDB-Tree for Multidimentional Data (KDBcs-트리 : 캐시를 고려한 효율적인 KDB-트리)

  • Yeo, Myung-Ho;Min, Young-Soo;Yoo, Jae-Soo
    • Journal of KIISE:Databases
    • /
    • v.34 no.4
    • /
    • pp.328-342
    • /
    • 2007
  • We propose a new cache conscious indexing structure for processing frequently updated data efficiently. Our proposed index structure is based on a KDB-Tree, one of the representative index structures based on space partitioning techniques. In this paper, we propose a data compression technique and a pointer elimination technique to increase the utilization of a cache line. To show our proposed index structure's superiority, we compare our index structure with variants of the CR-tree(e.g. the FF CR-tree and the SE CR-tree) in a variety of environments. As a result, our experimental results show that the proposed index structure achieves about 85%, 97%, and 86% performance improvements over the existing index structures in terms of insertion, update and cache-utilization, respectively.

TPKDB-tree : An Index Structure for Efficient Retrieval of Future Positions of Moving Objects (TPKDB 트리 : 이동 객체의 효과적인 미래 위치 검색을 위한 색인구조)

  • Seo Dong Min;Bok Kyoung Soo;Yoo Jae Soo;Lee Byoung Yup
    • Journal of KIISE:Databases
    • /
    • v.31 no.6
    • /
    • pp.624-640
    • /
    • 2004
  • Recently, with the rapid development of location-based techniques, index structures to efficiently manage moving objects have been required. In this paper, we propose a new spatio-temporal index structure that supports a future position retrieval and minimizes a update cost. The proposed index structure combines an assistant index structure that directly accesses current positions of moving objects with KDB-tree that is a space partitioning access method. The internal node in our proposed index structure keeps time parameters in order to support the future position retrieval and to minimize a update cost. Moreover, we propose new update and split methods to maximize the space utilization and the search performance. We perform various experiments to show that our proposed index structure outperforms the existing index structure.

A Study on the Spatial Indexing Scheme in Geographic Information System (지리정보시스템에서 공간 색인기법에 관한 연구)

  • 황병연
    • Spatial Information Research
    • /
    • v.6 no.2
    • /
    • pp.125-132
    • /
    • 1998
  • The I/O performance for spatial queries is extremely important since the handling of huge amount of multidimensional data is required in spatial databases for geographic information systems. Therefore, we describe representative spatial access methods handling complex spatial objects, z-transform B tree, KDB tree, R tree, MAX tree, to increase I/O performance. In addition, we measure the performance of spatial indexing schemes by testing against various realistic data and query sets. Results from the benchmark test indicates that MAX outperforms other indexing schemes on insertion, range query, spatial join. MAX tree is expected to use as index scheme organizing storage system of GIS in the future.

  • PDF

Spatio-Timporal Index Structure for Retrieving Future Positions of Moving Objects (이동 객체의 미래 위치 검색을 위한 시공간 색인 구조)

  • Seo, Dong-Min;Bok, Kyoung-Soo;Yoo, Jae-Soo
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • /
    • pp.1395-1398
    • /
    • 2003
  • 최근 위치기반 기술의 급속한 발전으로 인하여 이동 객체를 효율적으로 관리하기 위한 색인 구조의 필요성이 증가하고 있다. 본 논문에서는 KDB-트리를 기반으로 하는 새로운 형태의 시공간 색인 구조인 TPKDB-트리 (Time Parameterized KDB-Tree)를 제안한다. 제안하는 색인 구조는 갱신 비용을 최소화 하여 이동 객체 검색의 효율성을 증가시키고 노드 내에 포함되어 있는 이동 객체의 변화를 시간에 대한 파라미터로 유지함으로서 효율적으로 이동 객체의 미래 위치 검색을 지원한다. 또한, 공간활용도를 최대화하기 위해 EFP 분할 (Enhanced First Division Splitting) 기법을 제안한다. 제안하는 색인 구조의 우수성을 입증하기 위해 실험을 통해 다른 색인 구조차의 성능 비교를 수행한다.

  • PDF

Spatio-Temporal Index Structure based on KDB-Tree for Tracking Positions of Moving Objects (이동 객체의 위치 추적을 위한 KDB-트리 기반의 시공간 색인구조)

  • Seo Dong-Min;Bok Kyoung-Soo;Yoo Jae Soo;Lee Byoung-Yup
    • Journal of Internet Computing and Services
    • /
    • v.5 no.4
    • /
    • pp.77-94
    • /
    • 2004
  • Recently, the needs of index structure which manages moving objects efficiently have been increased because of the rapid development of location-based techniques. Existing index structures frequently need updates because moving objects change continuatively their positions. That caused entire performance loss of the index structures. In this paper, we propose a new index structure called the TPKDB-tree that is a spatio-temporal index structure based on KDB-tree. Our technique optimizes update costs and reduces a search time for moving objects and reduces unnecessary updates by expressing moving objects as linear functions. Thus, the TPKDB-tree efficiently supports the searches of future positions of moving objects by considering the changes of moving objects included in the node as time-parameter. To maximize space utilization, we propose the new update and split methods. Finally, we perform various experiments to show that our approach outperforms others.

  • PDF

Design and Implementation of the dynamic hashing structure for indexing the current positions of moving objects (이동체의 현재 위치 색인을 위한 동적 해슁 구조의 설계 및 구현)

  • 전봉기
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.8 no.6
    • /
    • pp.1266-1272
    • /
    • 2004
  • Location-Based Services(LBS) give rise to location-dependent queries of which results depend on the positions of moving objects. Because positions of moving objects change continuously, indexes of moving object must perform update operations frequently for keeping the changed position information. Existing spatial index (Grid File, R-Tree, KDB-tree etc.) proposed as index structure to search static data effectively. There are not suitable for index technique of moving object database that position data is changed continuously. In this paper, I propose a dynamic hashing index that insertion/delete costs are low. The dynamic hashing structure is that apply dynamic hashing techniques to combine a hash and a tree to a spatial index. The results of my extensive experiments show the dynamic hashing index outperforms the $R^$ $R^*$-tree and the fixed grid.

Index Structure for Efficient Similarity Search of Multi-Dimensional Data (다차원 데이터의 효과적인 유사도 검색을 위한 색인구조)

  • 복경수;허정필;유재수
    • Proceedings of the Korean Information Science Society Conference
    • /
    • /
    • pp.97-99
    • /
    • 2004
  • 본 논문에서는 다차원 데이터의 유사도 검색을 효과적으로 수행하기 위한 색인 구조를 제안한다. 제안하는 색인 구조는 차원의 저주 현상을 극복하기 위한 벡터 근사 기반의 색인 구조이다. 제안하는 색인 구조는 부모 노드를 기준으로 KDB-트리와 유사한 영역 분할 방식으로 분할하고 분할된 각 영역은 데이터의 분포 특성에 따라 동적 비트를 할당하여 벡터 근사화된 영역을 표현한다. 따라서, 하나의 노드 안에 않은 영역 정보를 저장하여 트리의 깊이를 줄일 수 있다. 또한 다차원의 특징 벡터 공간에 상대적인 비트를 할당하기 때문에 군집화되어 있는 데이터에 대해서 효과적이다 제안하는 색인 구조의 우수성을 보이기 위해 다양한 실험을 통하여 성능의 우수성을 입증한다.

  • PDF