Honeycomb architecture application implementation method based on data encryption processing technology

Abstract

The invention discloses a honeycomb architecture application implementation method based on a data encryption processing technology, and the method comprises the following steps: 1, setting a root platform and a cache platform based on the data encryption processing technology, building a honeycomb group layer structure by using the root platform, and building a plurality of nodes in the honeycomb group layer structure; 2, determining the fields to which the root platforms and the cache platforms belong according to commercial requirements, and then setting the number of the root platforms and the cache platforms in the field; 3, determining a structure framework and platform group division of the honeycomb type group layer structure according to commercial requirements; 4, creating nodes according to commercial requirements, and defining nodes, classification nodes and group attribution of the nodes and the classification nodes; and 5, defining an encryption algorithm and authorization thereof according to commercial requirements. The honeycomb architecture application realization method can meet the business requirements of scientific and technological upgrading and daily extraordinary business, the solution after information integration is accurate, and the method can control the cost cause of the operation project on the platform timely and accurately.

Description

technical field [0001] The present invention relates to the field of block chain technology, in particular to a method for implementing a honeycomb architecture application based on data encryption processing technology. Background technique [0002] With the improvement of living standards and the advancement of technology, people's needs are more diversified and private, and people have higher requirements for value. Demand diversification and privacy will involve more extensive and credible information content and more rigorous and timely professional service solutions, and value expression requires the measurement and accumulation of more cost driver information on the time axis. At present, operations such as information recording, storage, encryption, and sharing are carried out in a central control network, and specific operations are performed by service agencies or network platforms or servers provided by third-party organizations. [0003] In the existing central ...

AI Technical Summary

Problems solved by technology

[0004] 1. The amount of information processing is small; information processing is inefficient; information storage space is insufficient;

[0005] 2. Low participation in the ecosystem; insufficient sharing mechanism;

[0006] 3. The operating cost of the platform itself is relatively high; it cannot maximize the conversion of operating costs into benefits;

[0007] 4. The control of the cost drivers of operating projects on the platform is not timely and accurate;

[0008] 5. Poor confidentiality, low trust and poor timeliness;

[0009] 6. Service satisfaction is low and the value is not outstanding;

[0010] 7. The matching degree of logic and method cannot meet the ever-changing business needs, and the solution after information integration is not accurate;

[0011] 8. There is a problem with the central network and the entire platform is paralyzed

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