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Mobile Storage and Search Engine of Information Oriented to Food Cloud

Author(s): Lifeng Wei | Bingmei Zhao

Journal: Advance Journal of Food Science and Technology
ISSN 2042-4868

Volume: 5;
Issue: 10;
Start page: 1331;
Date: 2013;
Original page

Keywords: Food cloud | hadoop | internet of things | mobile search

The aim of this study is to establish food cloud information search architecture. Food information search engine based on cloud computing architecture can not only achieve more personalized and intelligent search, but also can solve problems of data processing and storage centralization caused by mass of food and custom information. According to design idea of mobile search engine based on cloud computing architecture, the Map/Reduce algorithm and HDFS were thoroughly analyzed and researched. The cloud parallel storage technology under cloud computing architecture was introduced into mobile search engine for design and implementation mobile search engine under open-source Hadoop framework based on cloud computing architecture. The system achieves parallel storage of mass information and mass data to overcome unbalance problem of data centralization and overhead in storage server load caused by mass food data in traditional search engine, thus achieving high efficient mobile device search result and good user satisfaction.
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Tango Jona
Tangokurs Rapperswil-Jona