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http://dx.doi.org/10.5391/JKIIS.2004.14.6.687

A Cache Hoarding Method Using Collaborative Filtering in Mobile Computing Environments  

Jun, Sung-Hae (청주대학교 통계학과)
Jung, Sung-Won (서강대학교 컴퓨터학과)
Oh, Kyung-Whan (서강대학교 컴퓨터학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.14, no.6, 2004 , pp. 687-692 More about this Journal
Abstract
In this paper, we proposed an efficient cache hoarding method in mobile computing environments using collaborative filtering. This method is used for solving the difficult problem of mobile computing, which is the vacuum of information service depending on low bandwidth, long delay, and frequent network disconnection. Many previous researches have been studied a cache hoarding approach for solving these problems of mobile client. But, the research of history information of mobile client did not support all informative requests for mobile clients. In our research, collaborative filtering model using history information and location data of mobile client is proposed. This proposed model supports an efficient service of necessary items for client's requirement. For the performance evaluation of proposed model, we make an experiment of simulation data using SAS enterprise miner. According to objective evaluation using cache hit ratio, we show that our model has a good result.
Keywords
Cache Hit Ratio;
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