Entry and exit probabilities based cache replacement policy for location dependent data in mobile environments

  • Authors:
  • Mary Magdalene Jane F.;Ilayaraja N.;Ashwin Raghav M.;Nadarajan R.;Maytham Safar

  • Affiliations:
  • PSG College of Technology India;PSG College of Technology India;PSG College of Technology India;PSG College of Technology India;Kuwait University Kuwait

  • Venue:
  • Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
  • Year:
  • 2009

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Abstract

Data caching in mobile clients is an important technique to enhance data availability and to improve data access time. Due to cache size limitations, cache replacement policies are used to find a suitable subset of items for eviction from the cache. In this paper, we study the issues of cache replacement for location-dependent data under a geometric location model and we have proposed a new cache replacement policy RAAR (Re-entry probability, Area of valid scope, Age, Rate of Access) by taking into account the spatial and temporal parameters. The experimental evaluations using synthetic datasets show that our replacement policy is effective in improving the system performance in terms of the cache hit ratio of mobile clients.