Optimization method and optimization end of blockchain architecture
A technology of architecture and optimization method, applied in the field of blockchain, which can solve problems such as blockchain performance defects and security threats
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Embodiment 1
[0074] Please refer to figure 1 and figure 2 , Embodiment 1 of the present invention is:
[0075] A method for optimizing a block chain architecture, comprising the steps of:
[0076] Separately extract the requirement parameter set of each distributed application system in the entire blockchain system, the requirement parameter set includes security requirement level or throughput requirement;
[0077] Among them, such as figure 2 As shown, assuming that there are x distributed application systems in the blockchain system, and extracting y parameters in each distributed application system, figure 2 DAPP is the abbreviation of Decentralized Application, which is the above-mentioned distributed application system, and the parameters are abbreviated as figure 2 C in the figure, DAPP in the figure r It generally refers to any distributed application system.
[0078] S1. Split the n blockchain architectures according to the preset categories to obtain the split component...
Embodiment 2
[0089] Please refer to image 3 , the second embodiment of the present invention is:
[0090] An optimization terminal 1 of a block chain architecture, including a memory 3, a processor 2, and a computer program stored on the memory 3 and operable on the processor 2, when the processor 2 executes the computer program, it realizes the first embodiment above A step of.
[0091] It should be known that the optimization terminal 1 of a blockchain architecture in this embodiment is not limited to a terminal device, and should include modules or systems that implement the steps in the first embodiment above.
[0092] To sum up, the optimization method and optimization end of a block chain architecture provided by the present invention split the block chain architecture into components, and randomly extract components from the split components through a mimic decision-making mechanism. Form a new heterogeneous candidate set, randomly select k sets of architectural components from t...
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