Big data organization and management method and system based on fractal multi-level cellular grid
A management method and management system technology, which are applied in the field of big data organization and management methods and systems based on fractal multi-level cellular grids, to achieve the effect of simple and clear structure and rapid acquisition.
Inactive Publication Date: 2018-09-28
BEIJING JIAOTONG UNIV
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[0005] The technical problem to be solved by the present invention is to provide a large data organization and management method and system based on fractal multi-level cellular grids to solve the problems of storage, encoding, retrieval and display of massive information points in the prior art
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[0063] In order to illustrate the utility model more clearly, the utility model will be further described below in conjunction with preferred embodiments and accompanying drawings. Similar parts in the figures are denoted by the same reference numerals. Those skilled in the art should understand that the content specifically described below is illustrative rather than restrictive, and should not limit the protection scope of the present utility model.
[0064]The main idea of the invention is based on vertical fractal multi-level honeycomb grid, and the vertical fractal multi-level structure is composed of multi-level nodes. The collection of information points is a special information tree classification, and each node is determined to have only one root node and 6 leaf nodes. Nodes at each level are connected to one or more nodes in a certain relationship with nodes at adjacent levels. Each node one level below the highest level is a child node of one or more parent node...
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The invention discloses a big data organization and management method based on fractal multistage honeycomb mesh. The method comprises steps of determining the system information point particle size and the minimum distance among information particles; generating a honeycomb structure according the above particle size and the minimum distance, and carrying out full coverage to each information point; coding each cell in the honeycomb structure; calculating the distance, subjection relationship and positioning information between the cell and another information point according to the coding characteristic, and storing the distance, the subjection relationship and the positioning information; and carrying out grading management to the information points according to multistage fractal characteristics. According to the invention, organization and management of big data information are carried out based on the fractal multistage honeycomb mesh, the structure is simple and clear, and is suitable for dividing and grading any complex large scale systems or big data clearly. The big data organization and management method is widely suitable for managing much complex information, and serves as a novel storage and search method, and can obtain required information quickly.
Description
technical field [0001] The present invention relates to large data storage, encoding and retrieval processing, in particular to a large data organization and management method and system based on fractal multi-level cellular grids. Background technique [0002] With the development and application of information technology, the processing and management of big data in the process of information interaction and management directly affects the speed of data retrieval and management by the system. [0003] Traditional storage solutions have faced more and more problems in the face of massive data and various demands. For example, the exponential growth of data volume requires continuous expansion of storage space, and real-time analysis of massive data has a huge impact on storage and computing capabilities. Request. This method uses the stability of the honeycomb structure and the characteristics of the multi-level self-similar fractal structure to design a set of big data or...
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IPC IPC(8): G06F17/30
Inventor 乐逸祥张彤
Owner BEIJING JIAOTONG UNIV