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Block chain consensus performance optimization method

An optimization method and blockchain technology, applied in the blockchain field, can solve problems such as frequent switching network overhead

Active Publication Date: 2021-05-28
SOUTHWEST FORESTRY UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a blockchain consensus performance optimization method to solve the problem of frequent view switching caused by dishonest nodes serving as master nodes and the excessive network overhead caused by frequent use of garbage collection mechanisms in traditional PBFT

Method used

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Embodiment Construction

[0054] The present invention will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0055] figure 1 It shows a step diagram of a block chain consensus performance optimization method according to the present invention.

[0056] Such as figure 1 As shown, a blockchain consensus performance optimization method includes:

[0057] Step S101: Construct the trust degree data set of each consensus node according to the attributes of each consensus node in the blockchain;

[0058] In a specific application scenario, on the basis of keeping the original three-stage broadcast...

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Abstract

The invention discloses a block chain consensus performance optimization method. The method comprises the steps of constructing a credibility data set of each consensus node according to attributes of each consensus node in a block chain; performing classification evaluation on the credibility data set through a trained C4.5 classification model to confirm the credibility level of each consensus node; giving corresponding voting weights to the consensus nodes according to the credibility levels, wherein the higher the credibility levels of the consensus nodes are, the larger the corresponding voting weights are; selecting a main node, and managing and controlling the Byzantine problem occurring in the operation process of the main node by using the intelligent contract; sending the block request log of the consensus node to a Kafka message queue, and completing a check point protocol based on FIFO characteristics; and detecting the consensus performance of the block chain system by using a HyperledgerFabric alliance chain. The problem of frequent view switching due to the fact that a dishonest node serves as a main node and the problem of overlarge network overhead due to the fact that a garbage collection mechanism is frequently started in traditional PBFT are solved.

Description

technical field [0001] The present invention relates to the technical field of block chains, and more specifically, to a block chain consensus performance optimization method. Background technique [0002] In the traditional centralized data management mode, a "trusted" third party completes the management and maintenance of the database and has absolute control over the data. However, it is impossible for other institutions or individuals to know the update process of the data, so they will raise trust issues in the data. Taking the financing of supply chain finance companies as an example, since each company independently maintains a database that records its own business data, the information is separated from each other and cannot satisfy the problem of multi-party mutual trust. For risk control, qualification and credit considerations, financial institutions are only willing to provide financing services for core enterprises, and are unwilling to invest additional manp...

Claims

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Application Information

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IPC IPC(8): G06F11/14G06F16/27G06F21/64G06K9/62
CPCG06F16/27G06F21/64G06F11/1479G06F18/214
Inventor 梁志宏黄宇翔郭致昌
Owner SOUTHWEST FORESTRY UNIVERSITY
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