A Cost Model for an Adaptive Cell-Based Index Structure

  • Wonik Choi
  • Jinseok Chae
  • Nam-Joong Kim
  • Mee Young Sung
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4263)


In this paper, we describe a cost model for an adaptive cell-based index structure which aims at efficient management of immense amounts of spatio-temporal data. We first survey various methods to estimate the performance of R-tree variants. Then, we present our cost model which accurately estimates the number of disk accesses for the adaptive cell-based index structure. To show the accuracy of our model, we perform a detailed analysis using various data sets. The experimental result shows that our model has the average error ratio from 7% to 13%.


Cost Model Index Structure Ubiquitous Computing Range Query Point Query 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Wonik Choi
    • 1
  • Jinseok Chae
    • 2
  • Nam-Joong Kim
    • 2
  • Mee Young Sung
    • 2
  1. 1.School of Information and Communication EngineeringInha UniversityIncheonKorea
  2. 2.Department of Computer Science and EngineeringUniversity of IncheonIncheonKorea

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