Response efficiency optimisation of data cube online analysis for network user's behaviour Online publication date: Wed, 21-Jun-2023
by Hui Zhang; Su Zhang; Xiaoling Jiang
International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Vol. 16, No. 3, 2023
Abstract: Aiming at the problem of long response time and poor compression performance of the current method, this paper proposes an online response efficiency optimisation method for network user behaviour data cubes based on a formal concept lattice. The smallest element and the largest element are used to calculate the extended domain and aggregation function, and the response efficiency of the online analysis of the data cube is optimised. The experimental results show that when the dimension table records remain unchanged, the response time is 8.5 s higher than when the fact table records in the proposed method are 50,000. When the fact table record is unchanged, the response time of the proposed method is about 5.2 s when the dimension table record is 300,000. The response time of the traditional method is significantly higher than that of the proposed method. When the dimension table is 256, the proposed method only needs 8 bits.
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