Artificial intelligence block cloud ecosystem based on DABFT consensus mechanism

A technology of artificial intelligence and ecosystem, applied in the field of blockchain

Active Publication Date: 2019-01-01
上海幼鸢网络科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0020] Therefore, in view of the advantages and disadvantages of existing consensus algorithms, it is concluded that although some of them provide useful functions, none of them can fully meet the efficiency, fairness and legality of AIBC (Artificial Intelligence Block Cloud) Target

Method used

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  • Artificial intelligence block cloud ecosystem based on DABFT consensus mechanism
  • Artificial intelligence block cloud ecosystem based on DABFT consensus mechanism
  • Artificial intelligence block cloud ecosystem based on DABFT consensus mechanism

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Embodiment Construction

[0056] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention. On the contrary, the embodiments of the present invention include all changes, modifications and equivalents coming within the spirit and scope of the appended claims.

[0057] Such as figure 1 As shown, this embodiment provides an artificial intelligence block cloud ecosystem based on the DABFT consensus mechanism, which includes a new block proposal module 1 , a new block verification module 2 and a new task distribution module 3 .

[0058] The new block proposal module 1 is used to assign a group of task verification nodes and task pro...

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Abstract

The invention provides an artificial intelligence block cloud ecosystem based on a DABFT consensus mechanism. The artificial intelligence block cloud ecosystem based on a DABFT consensus mechanism includes a new block proposing module and a new block verification module, wherein the new block proposing module is used to allocate a set of task verification nodes and task processing nodes for a newtask when a new task issuing request is received, and the task processing nodes propose a new block; the new block verification module is used to verify the proposed new block by means of the DABFT consensus mechanism to determine the validity of the new block; through deep learning based on artificial intelligence, by means of a set of effectiveness evaluation algorithms, the DABFT consensus mechanism determines the optimal Byzantine fault tolerance mode of the new task; and DABFT is further enhanced by the addition of adaptive features, is a delegation mechanism with higher efficiency, and can select a BFT that is best suited for dynamic and parallel tasks. The adaptability is achieved through the deep learning technique, and selection of the real-time consistency algorithm for the new task is derived from a training model of previous tasks.

Description

technical field [0001] The invention relates to the technical field of block chains, in particular to an artificial intelligence block cloud ecosystem based on a DABFT (Delegated Adaptive Byzantine Fault Tolerance) consensus mechanism. Background technique [0002] At present, there are many blockchain consensus algorithms, such as PoW (Proof of Work) workload proof consensus, PoS (Proof of Stake) equity proof consensus and DPoS, PoI (Proof of Importance) importance proof consensus, PoD ( Proof of Devotion) Contribution Proof Consensus, PoA (Proof of Authority) Identity Proof Consensus, BFT (Byzantine Fault Tolerance) Distributed Consistency Consensus and DBFT, etc. [0003] A. PoW workload proof consensus [0004] The PoW consensus behind Bitcoin embodies the SHA256 hash (SHA256hash) zero-sum game, through which miners obtain the right to distribute ledgers. As the difficulty of block mining increases, PoW wastes a lot of computing power (electricity), greatly reducing th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24
CPCH04L41/142H04L41/145H04L41/147H04L41/5009H04L41/5054
Inventor 邓琦
Owner 上海幼鸢网络科技有限公司
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