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<record>
  <title>Cache Pre - fetching and Replacement Strategies for Location Dependent Data in Mobile Environments</title>
  <journal>Journal of Digital Information Management</journal>
  <author>Mary Magdalene Jane F, Ilayaraja N, Nadarajan R, Maytham Safar</author>
  <volume>7</volume>
  <issue>3</issue>
  <year>2009</year>
  <doi></doi>
  <url>http://www.dirf.org/jdim/v7n3a9.asp</url>
  <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.</abstract>
</record>
