When location-based services meet databases

Dik Lun Lee, Manli Zhu, Haibo Hu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

37 Citations (Scopus)

Abstract

As location-based services (LBSs) grow to support a larger and larger user community and to provide more and more intelligent services, they must face a few fundamental challenges, including the ability to not only accept coordinates as location data but also manipulate high-level semantics of the physical environment. They must also handle a large amount of location updates and client requests and be able to scale up as their coverage increases. This paper describes some of our research in location modeling and updates and techniques for enhancing system performance by caching and batch processing. It can be observed that the challenges facing LBSs share a lot of similarity with traditional database research (i.e., data modeling, indexing, caching, and query optimization) but the fact that LBSs are built into the physical space and the opportunity to exploit spatial locality in system design shed new light on LBS research.
Original languageEnglish
Pages (from-to)81-90
Number of pages10
JournalMobile Information Systems
Volume1
Issue number2
DOIs
Publication statusPublished - 1 Jan 2005
Externally publishedYes

Keywords

  • Databases
  • Location-based service
  • Mobile devices

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications

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