@article{202,
  author = {Mary Magdalene Jane F, Ilayaraja N, Nadarajan R, Maytham Safar},
  title = {Cache Pre - fetching and Replacement Strategies for Location Dependent Data in Mobile Environments},
  journal = {Journal of Digital Information Management},
  year = {2009},
  volume = {7},
  number = {3},
  doi = {},
  url = {http://www.dirf.org/jdim/v7n3a9.asp},
  abstract = {In this paper, new strategies for prefetching and cache replacement are proposed. The proposed pre-fetching algorithm considers the geographical and semantic adjacency between queried items. The strategy is to pre-fetch the most probable secondary service as a by-product of the execution of a query to a primary service. Association rule mining is used for determining the secondary item that should be pre-fetched. The latter part of the paper deals with a cache replacement algorithm PAID+ (Probability Area Inverse Distance +) which takes into account the access probability and distance between the mobile client and the service item which suits a pre-fetching environment. The experimental evaluations using synthetic datasets show the cache pre-fetch and replacement policy PAID+ are effective in improving the system performance in terms of the cache hit ratio of mobile clients.},
}