Caching Complementary Space for Location-Based Services

  • Ken C. K. Lee
  • Wang-Chien Lee
  • Baihua Zheng
  • Jianliang Xu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3896)

Abstract

In this paper, we propose a novel client-side, multi-granularity caching scheme, called “Complementary Space Caching” (CS caching), for location-based services in mobile environments. Different from conventional data caching schemes that only cache a portion of dataset, CS caching maintains a global view of the whole dataset. Different portions of this view are cached in varied granularity based on the probabilities of being accessed in the future queries. The data objects with very high access probabilities are cached in the finest granularity, i.e., the data objects themselves. The data objects which are less likely to be accessed in the near future are abstracted and logically cached in the form of complementary regions (CRs) in a coarse granularity. CS caching naturally supports all types of location-based queries. In this paper, we explore several design and system issues of CS caching, including cache memory allocation between objects and CRs, and CR coalescence. We develop algorithms for location-based queries and a cache replacement mechanism. Through an extensive performance evaluation, we show that CS caching is superior to existing caching schemes for location-based services.

Keywords

Query Processing Near Neighbor Cache Size Cache Scheme Cache Replacement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ken C. K. Lee
    • 1
  • Wang-Chien Lee
    • 1
  • Baihua Zheng
    • 2
  • Jianliang Xu
    • 3
  1. 1.Pennsylvania State UniversityUniversity ParkUSA
  2. 2.Singapore Management UniversitySingapore
  3. 3.Hong Kong Baptist UniversityHong Kong

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