Research on interactive data packet storage algorithm for Hadoop cloud computing platform Online publication date: Wed, 14-Sep-2022
by Yu-feng Ou; Yan-Xi Li; Wei-Guo Liu
International Journal of Information and Communication Technology (IJICT), Vol. 21, No. 3, 2022
Abstract: The accuracy of traditional interactive data packet storage algorithms for data packet storage is not high, the storage time is very large, and the integrity of the data cannot be guaranteed. Therefore, a new type of interactive data packet storage algorithm is proposed. First, Bayes' theorem is used to calculate the frequency of grouping categories, so as to construct the interactive data classification model of the Hadoop cloud computing platform. By using the relationship between Smart-DIRPE codes and rules, the integrity of data packet storage is effectively ensured, and the domain conversion method is used to realise the range matching design of interactive data packets. Based on this, the design of the interactive data packet storage algorithm is completed. Experimental results show that the algorithm has higher grouping accuracy, better data integrity and shorter time consumption. When the data size is 90 MB, the time consumption is 2.3 s.
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