Risk Analysis of Big Data Based on Cloud Computing for the Inspection and Testing of Toxic and Hazardous Substances in Meat Products

Large-scale data emerge in food safety inspection and testing industry with the development of Internet technology in China. This paper was aimed at designing toxic and hazardous substance big data risk analysis algorithm in food safety inspection and testing based on cloud computing [1]. Cloud computing platform was set up to store the massive extensive data with geographical distribution, dynamic and high complexity from the Internet, and MapReduce [2] computational framework in cloud computing was applied to process and compute parallel data. The risk analysis results were obtained by analyzing 1000000 meat products testing data collected from the laboratory management information system based on web. The results show that food safety index<1, which proves that the food safety state is in good condition.


Subject(s):
Issue Date:
Aug 20 2017
Publication Type:
Journal Article
Record Identifier:
http://ageconsearch.umn.edu/record/265383
ISSN:
1943-9903
Language:
English
Published in:
Asian Agricultural Research, Volume 09, Issue 08
Page range:
95-100




 Record created 2017-11-22, last modified 2018-04-16

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