Block chain based large scale data sharing method

Abstract

The invention relates to the technical field of big data processing, and particularly relates to a block chain based large scale data sharing method. The method is based on a block chain technology, and pieces of block data are connected in series according to the occurrence sequence to form the whole large scale data; corresponding functions are realized through a data access module, a payment module and a data evaluation module; the data access module is provided for a data source reporting party to report a data source and earning value pricing of a response, records the reported information and is used for receiving earnings; the payment module issues relevant tokens, a data demanding party pays tokens according to data utilization and acquisition conditions, the data source reportingparty acquires the tokens, and an intermediate party acquires service tokens; the tokens can be converted into actual earnings; and the data evaluation module is provided for the data source reportingparty to define an earning mode of the data, and a block chain data sharing network performs pricing on the data earnings according to the set method and lists pricing lists of various types of data.The method solves problems of slow response speed, IO bottleneck and the like in the traditional data centralization process, can promote utilization of various types of data and improves the utilization value.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to a large-scale data sharing method based on blockchain. Background technique [0002] With the application of computer systems and types of application terminals, more and more data are collected by various terminals in the whole society; various data exist on each terminal system. The data generated by electricity meters or water meters, various monitoring terminals, such as weather data collectors and other terminals (including the data formed by their application systems) exists in servers and various IoT devices. Now these various data basically exist alone, and the data cannot be effectively circulated and utilized. Analyze the reasons, mainly: [0003] 1. Data integration bottleneck: With the development of various terminals, the entire society generates a huge amount of data. Data integration requires an efficient upload, storage, and read service. The tradi...

AI Technical Summary

Problems solved by technology

This leads to a large storage bottleneck when storing such a large amount of data, including upload bandwidth, query efficiency, read speed, network bandwidth, etc.

All these problems make it difficult to integrate large-scale data

[0004] 2. Enthusiasm for data circulation: data needs to be circulated to be valuable

[0005] Based on the above two reasons, traditional technical methods cannot solve its existing problems, especially how to stimulate the enthusiasm of data flow; for the new understanding of data as resources, how to quickly and efficiently integrate various large-scale data resources, become urgent problems to be solved

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