@article {180,
	title = {Cache Pre-fetching and Replacement strategies for location dependent data in mobile environments},
	journal = {Journal of Digital Information Management},
	volume = {7},
	year = {2009},
	note = {Export Date: 10 July 2014},
	month = {2009},
	pages = {185 - 190},
	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.},
	keywords = {Cache replacement, Location dependent data, Prefetching algorithm},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-73249124769\&partnerID=40\&md5=c2445ecd7a2b48db9d0be250bd2dc45e},
	author = {Mary Magdalene Jane, F. and Ilayaraja, N. and Nadarajan, R.}
}
