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International Journal of Multimedia Computing, 2021, 2(1); doi: 10.38007/IJMC.2021.020101.

Dietary Nutrition Cloud Platform Technology Based on Big Data

Author(s)

Muhammad Jmail

Corresponding Author:
Muhammad Jmail
Affiliation(s)

University of Engineering and Technology, UET Taxila

Abstract

The long-term material shortage is in sharp contrast with the current food surplus. People gradually ignore the excessive food intake, and the accumulation of nutrients in the body is harmful to the body. How to establish a correct understanding of food nutrition, and its scientific and reasonable application in life has become an urgent problem to be solved. The object data processed by dietary nutrition analysis requires high reliability. The massive data processing technology of cloud computing technology meets the requirements, which ensures the accurate and safe access of the underlying user sign data to the system, so as to ensure the accuracy of the processing results. Therefore, based on the application background of big data, this paper discusses the cloud platform technology of dietary nutrition, and designs a simple diet nutrition platform through software and hardware for simulation analysis. The experimental results show that the 20GB file in this paper is composed of 40 512MB small files, and OSS will not perform segmentation operation. Therefore, when OSS is used, the number of maps is 40. HDFS is faster than OSS with the same map number. The BMI value of users with adequate nutrient intake and reasonable dietary structure is relatively standard. Therefore, the amount of nutrient intake can not reflect the quality of physical fitness. Only by taking sufficient nutrients under the premise of reasonable dietary structure can the body shape of users be healthy. The time required by the distributed algorithm increases more slowly, while the time required by the algorithm before the distribution increases faster, which shows that the distributed implementation can improve the speed of clustering immune algorithm to find association rules

Keywords

Dietary Nutrition, Cloud Platform Technology, Big Data, Machine Learning, Disease Prediction

Cite This Paper

Muhammad Jmail. Dietary Nutrition Cloud Platform Technology Based on Big Data. International Journal of Multimedia Computing (2021), Vol. 2, Issue 1: 1-11. https://doi.org/10.38007/IJMC.2021.020101.

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