Hierarchical consensus method based on accompanying group system and blockchain data processing system

Abstract

The invention belongs to the technical field of distributed computing, and discloses a hierarchical consensus method based on an accompanying group system, and a block chain data processing system, and the method comprises the steps: selecting a plurality of subordinate nodes with the maximum random number as accompanying group members Ki according to verifiable random numbers transmitted by the subordinate nodes; after the accompanying group K is established, electing, by the accompanying group K, an accounting node in the accompanying group K through a leader election algorithm; selecting one broadcast node from the superior nodes of each small piece; freely sending transactions by the subordinate nodes to all the superior nodes, packaging the received transactions by the broadcast nodes, and performing, by the accompanying group, consensus by means of a BFT algorithm; and packaging the transaction set after consensus into blocks, and broadcasting the blocks to all superior nodes bythe accounting node, and then disintegrating the accompanying group. According to the method and the system, the original huge transaction quantity is dispersed into each fragment and is processed between the accompanying group members, so that the purpose of improving tps is achieved, and the Byzantine error is effectively restricted at the same time.

Description

technical field [0001] The invention belongs to the technical field of distributed computing, and in particular relates to a layered consensus method based on a jury system and a block chain data processing system. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: At present, the Internet of Things technology is in the ascendant. The Internet of Things technology is an information carrier such as the Internet and traditional telecommunication networks, and a network that connects all objects that can perform functions independently. At present, the application fields of the Internet of Things mainly include transportation and logistics, health care, intelligent environment and other fields. However, in the practical application of the Internet of Things, there is a demand for the authenticity and non-tampering of information, and ordinary distributed networks obviously cannot meet the non-tampering properties. ...

AI Technical Summary

Problems solved by technology

However, these blockchains all face the same problem: low concurrency, low TPS

[0005] (2) The second existing technology uses the paxos algorithm, which can only solve non-Byzantine errors, but cannot solve Byzantine errors. Once there are nodes in the network doing evil, the correctness of the consensus will be reduced Will be destroyed; the combination of blockchain and Internet of Things technology requires a blockchain with high concurrency and high tps, and a blockchain with high tps and high concurrency requires an efficient consensus algorithm, which cannot meet the needs

[0006] Difficulty and significance of solving the above technical problems: The challenge of optimization lies in: 1. Improve the network structure of a single leader and create a blockchain with high concurrency and high tps

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