International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)
59 Study on Storage Model of Map/Reduce-Based Index Classification
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The main problems of current search engine system applied on intelligent terminals are limited storage capacity with mass data, high-concurrency access of users and search delay of system. For these problems, this paper proposes a storage model of index classification and adopts a new index storage algorithm based on Map/Reduce programming model. The algorithm calculates the secondary weight of index term in the process of index classification in order to lower the fuzzy granularity of the classification. Through experimental testing, this storage model can not only improve the mass data processing efficiency, but also to some extent reduce query delay and improve the search efficiency.