Design and Analysis of Low Delay Deterministic Network Based on Data Mining Association Analysis

  • Jianhu Gong School of Data and Computer Science, Guangdong Peizheng College, Guangzhou 510830, P.R. China
Keywords: Cache, prefetch, unordered pages, association analysis, data mining


The purpose of this paper is to research on the design and analysis of low delay deterministic network based on data mining association. This paper studies and implements the algorithm of mining page association rules. A session recognition algorithm based on log reference page and request time is proposed by using the time probability relationship of continuous requests. This method improves the accuracy of log data preprocessing and page association rules mining. This paper studies and tests the efficiency, prefetch timing and cache organization of the two page association rules. The results show that in this prefetch scheme, the prefetch performance of the association rules of unordered pages is better than that of the association rules of ordered pages. The prefetch performance when cache hits is better than that when cache fails and the cache fails to hit has better performance. In the case of a certain size of cache space, reasonable organization of cache space can further improve the cache hit rate and reduce the network delay.


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Author Biography

Jianhu Gong, School of Data and Computer Science, Guangdong Peizheng College, Guangzhou 510830, P.R. China

Jianhu Gong has been engaged in teaching in the school of data and computer science of Guangdong Peizheng College since he got his doctor’s degree from City University of Macau in 2013. He has published many papers in the fields of computer network, data science and big data technology, and participated in the research work of the Ministry of Education, Guangdong Province and other departments. He has obtained many authorized patents and software copyrights Item.


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