Big data fast transmission method based on cloud storage

By pre-processing and analyzing the data before and during transmission, optimizing network configuration, and adopting multi-network converged transmission and traffic optimization collaborative processing, combining local cache and pre-transmission, the problems of high network dependence, high cost and high security and privacy risks of big data in the existing technology are solved, and the fast, stable and low-cost transmission of big data is achieved, and the reliability and economicality of transmission are improved.

CN119892824APending Publication Date: 2025-04-25SHANGHAI HUAGAI SCI TECH DEV CO LTD
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Patent Information

Application Number
CN202510065574.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-15
Publication Date
2025-04-25

AI Technical Summary

Technical Problem

The existing fast transmission method of big data based on cloud storage has problems such as high network dependence, high cost, and high security and privacy risks, which affects the practicality and reliability of transmission.

Method used

By pre-processing and analyzing the data before and during transmission, detecting and optimizing network configuration; adopting multi-network converged transmission and traffic optimization collaborative processing, combining local cache and pre-transmission; distributed storage and resource sharing are carried out in the cloud, and data lifecycle management is carried out.

Benefits of technology

Ensure the fast and stable transmission of big data in complex network environments, reduce transmission interruptions and delays, improve transmission efficiency and reliability, control storage and traffic costs, and improve the economicality of cloud storage big data transmission.

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Abstract

The invention discloses a fast big data transmission method based on cloud storage, and relates to the technical field of big data. The method comprises the following steps: S1, data and network processing before transmission: preprocessing and analyzing data, and detecting and configuring and optimizing a data transmission network; s2, process data transmission and network processing: carrying out multi-network fusion transmission and flow optimization cooperative processing on the data, and carrying out local caching and pre-transmission according to a network state; and S3, cloud storage end data processing: carrying out distributed storage and resource sharing on the data transmitted to the cloud end, and carrying out life cycle management on the data. According to the method, efficient and low-cost fast transmission of big data can be realized.
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Citation Information

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