Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Real and Synthetic Test Datasets

  • Thomas Brinkhoff
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_1357

Synonyms

Spatio-temporal benchmarking; Spatio-temporal data generator

Definition

In the area of mobile and ubiquitous data management, real and synthetic test datasets are used for experimental investigations of performance and robustness. Typical applications are the examination of access methods for spatio-temporal databases and the simulation of mobility for location-based services. Besides synthetic and real datasets, combinations of these two types of data are often used that integrate a predefined infrastructure.

Historical Background

Beginning in the mid 1990s, the development of algorithms and data structures for spatio-temporal data took place of the research in the field of pure (geo-)spatial applications. Previous spatial test datasets were not sufficient for investigating the performance and robustness of those algorithms and data structures. Consequently, first data generators for spatio-temporal test datasets were published in the end of the 1990s.

Foundations

Comprehensib...

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Recommended Reading

  1. 1.
    Brinkhoff T. A framework for generating network-based moving objects. GeoInformatica. 2002;6(2):153–80.zbMATHCrossRefGoogle Scholar
  2. 2.
    Jensen CS. Special issue on infrastructure for research in spatio-temporal query processing. Bull Tech Comm Data Eng. 2003;26(2):51–5.Google Scholar
  3. 3.
    Jensen CS, Lahrmann H, Pakalnis S, Runge J. The INFATI Data. 2004. Available at: http://oldwww.cs.aau.dk/research/DP/tdb/TimeCenter/TimeCenterPublications/TR-79.pdf.
  4. 4.
    Kaufman J, Myllymaki J, Jackson J. City simulator. IBM alphaworks emerging technologies. 2001. Available at: https://secure.alphaworks.ibm.com/aw.nsf/techs/citysimulator.
  5. 5.
    Krajzewicz D, Hertkorn G, Rössel C, Wagner P. SUMO (Simulation of Urban MObility): an open-source traffic simulation. In: Proceedings of the 4th Middle East Symposium on Simulation and Modelling; 2002. p. 183–7.Google Scholar
  6. 6.
    Nascimento MA, Pfoser D, Theodoridis Y. Synthetic and real spatiotemporal datasets. Q Bull IEEE TC Data Eng. 2003;26(2):26–32.Google Scholar
  7. 7.
    Saglio JM, Oporto MJ. A realistic scenario generator for moving objects. GeoInformatica. 2001;5(1):71–93.zbMATHCrossRefGoogle Scholar
  8. 8.
    Theodoridis Y, Silva JRO. Nascimento MA. On the generation of spatiotemporal datasets. In: Proceedings of the International Symposium on Large Spatial Databases; 1999. p. 147–64.CrossRefGoogle Scholar
  9. 9.
    Tzouramanis T, Vassilakopoulos M, Manolopoulos Y. On the generation of time-evolving regional data. GeoInformatica. 2002;6(3):207–31.zbMATHCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute for Applied Photogrammetry and Geoinformatics (IAPG)OldenburgGermany

Section editors and affiliations

  • Ouri Wolfson
    • 1
  1. 1.Mobile Information Systems Center (MOBIS)The University of Illinois at ChicagoChicagoUSA