DynaMark: A Benchmark for Dynamic Spatial Indexing

  • Authors:
  • Jussi Myllymaki;James Kaufman

  • Affiliations:
  • -;-

  • Venue:
  • MDM '03 Proceedings of the 4th International Conference on Mobile Data Management
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

We propose a performance benchmark for dynamic spatial indexing that is directly geared towards Location-Based Services (LBS). A set of standard, realistic location trace files is used to measure the update and query performance of a spatial data management system. We define several query types relevant for LBS: proximity queries (range queries), k-nearest neighbor queries, and sorted-distance queries. Performance metrics are defined to quantify the cost (elapsed time) of location updates, spatial queries, and spatial index creation and maintenance.